JP2018042229A - Wearable camera, wearable camera system, and video recording control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To start the video recording of a video imaged by a wearable camera to reduce omission in video recording even when a user does not voluntarily perform an operation of video recording, and thereby to efficiently support a task of the user.SOLUTION: A wearable camera configured so as to be worn or carried by a user comprises: an imaging part for imaging an object in front of the user; a communication part for communicating with a sensor part which acquires information on the movement of the user or an external sensor which acquires information on an activity amount of the user; a determination part for determining whether or not a predetermined behavior has been made by the user on the basis of the information on the movement of the user acquired by the sensor part or the information on the activity amount of the user acquired by the communication part; and a video recording control part for starting the video recording of an imaged video of the object imaged by the imaging part, when it is determined that the predetermined behavior has been made by the user by the determination part.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a wearable camera, a wearable camera system, and a recording control method for controlling recording of a video imaged by a wearable camera.

  In recent years, in order to efficiently support the operations of police officers and guards, for example, an operation for wearing or carrying a wearable camera by a police officer during a patrol has been studied.

  As a prior art using a wearable camera, for example, there is a wearable surveillance camera system described in Patent Document 1. The wearable surveillance camera system disclosed in Patent Document 1 can store an image (video) signal and an audio signal from a CCD camera and microphone attached to the body, and a date / time information signal from a built-in clock in a pouch attached to the body. The date and time information encoded by the encoding server and converted into character information is superimposed on the captured image and can be recorded.

JP 2006-148842 A

  Here, the case where the wearable camera of patent document 1 is mounted | worn with and used for the police officer as an example of a user is assumed. When a police officer wears the wearable camera of Patent Document 1 on his body and uses a surveillance object such as a suspicious person or a stolen car, the police officer presses the recording switch to record image data (image signal). It is assumed that recording starts.

  However, for example, if an incident occurs suddenly, police officers must rush to deal with the incident in the light of the importance of initial action or initial investigation. In the configuration of Patent Document 1, if the user forgets to record the video without having enough time to press the recording switch of the wearable camera at the scene of the incident, a recording failure occurs as a result. In other words, because the video of evidence related to the incident and the suspects cannot be left on the wearable camera, and the incident scene cannot be obtained, the police station in charge can quickly and appropriately respond to the occurrence of the incident. However, there was a problem that it was difficult to resolve the case early. Moreover, if the evidence video is not recorded, sufficient evidence cannot be presented in a later trial or the like, which may cause great trouble.

  The present invention has been devised in view of the above-described conventional circumstances, and starts recording a video imaged by a wearable camera without the user's own operation of recording, thereby reducing the omission of recording. It is an object of the present invention to provide a wearable camera, a wearable camera system, and a recording control method that efficiently support the above-described work.

  The present invention is a wearable camera that can be worn or possessed by a user, and is acquired by an imaging unit that images a subject in front of the user, a sensor unit that acquires information about the user's movement, and the sensor unit. Based on the information related to the user's movement, a determination unit that determines whether or not a predetermined action has been performed by the user, and a determination unit that determines that a predetermined action has been performed by the user, There is provided a wearable camera comprising: a recording control unit that starts recording of a captured image of the subject imaged by the imaging unit.

  Further, the present invention is a wearable camera system in which a wearable camera that can be worn or possessed by a user and a server are connected so as to communicate with each other, and the wearable camera images a subject in front of the user, and the user The information regarding the movement of the user is acquired, the acquired information regarding the movement of the user is transmitted to the server, the server receives the information regarding the movement of the user transmitted from the wearable camera, and the received user On the basis of the information regarding the movement of the subject, it is determined whether or not a predetermined action has been performed by the user, and when it is determined that the user has performed a predetermined action, an instruction to start recording of the captured video of the subject is issued. Transmitted to the wearable camera, and the wearable camera receives the recording start instruction transmitted from the server. And Shin, in response to the received the recording start instruction to start recording captured image of the subject, to provide a wearable camera system.

  Further, the present invention is a recording control method in a wearable camera that can be worn or possessed by a user, imaging a subject in front of the user, acquiring information about the user's movement, and acquiring the acquired user's It is determined whether or not a predetermined action has been performed by the user on the basis of information relating to movement, and when it is determined that the user has performed a predetermined action, recording of a captured image of the captured subject is performed. Provide a recording control method to start.

  In addition, the present invention is a wearable camera that can be worn or possessed by a user, and communicates with an imaging unit that images a subject in front of the user and an external sensor that acquires information on the amount of activity of the user A determination unit that determines whether or not a predetermined event has occurred based on information on the amount of activity of the user received from the external sensor by the communication unit, and the determination that the predetermined event has occurred And a recording control unit that starts recording the captured video of the subject imaged by the imaging unit when determined by the imaging unit.

  Further, the present invention is a wearable camera system in which a wearable camera that can be worn or possessed by a user and an external sensor that acquires the amount of activity of the user are connected to be communicable, and the wearable camera includes The front subject is imaged, the external sensor acquires information on the amount of activity of the user, transmits the acquired information on the amount of activity of the user to the wearable camera, and the wearable camera receives information from the external sensor. The transmitted activity amount information of the user is received, based on the received activity amount information of the user, it is determined whether or not a predetermined event has occurred, and it is determined that the predetermined event has occurred In such a case, a wearable camera system is provided that starts recording a captured image of the subject.

  Further, the present invention is a wearable camera in a wearable camera system in which a wearable camera that can be worn or possessed by a user, an external sensor that acquires the amount of activity of the user, and a communication terminal are connected to be communicable, The external sensor acquires information on the activity amount of the user, transmits the acquired information on the activity amount of the user to the communication terminal, and the communication terminal transmits the activity amount of the user transmitted from the external sensor. And determining whether a predetermined event has occurred based on the received information on the amount of activity of the user, and if it is determined that the predetermined event has occurred, An instruction to start recording a captured image is transmitted to the wearable camera, and the wearable camera captures an image of a subject in front of the user and transmits from the communication terminal. When the received recording start instruction is received, recording of the captured video of the subject is started in response to the received recording start instruction, and the recording stop is determined by the user's instruction, the captured video of the subject A wearable camera that stops video recording.

  According to the present invention, it is possible to start recording video captured by a wearable camera and reduce omissions without efficiently performing recording operations by the user, thereby efficiently supporting the user's work. it can.

Explanatory drawing which shows an example of the outline | summary of the wearable camera system of this embodiment The figure which shows an example of the upper body of the police officer who equipped the wearable camera of this embodiment The front view which shows an example of the surface of the front side of the housing | casing of the wearable camera of this embodiment The block diagram which shows an example of the internal structure of the wearable camera of this embodiment in detail The block diagram which shows an example of the internal structure of the back end streaming server of this embodiment in detail The block diagram which shows an example of the internal structure of the back end server of this embodiment in detail The block diagram which shows an example of the internal structure of the back end client of this embodiment in detail The flowchart explaining in detail an example of the operation procedure of automatic recording in the wearable camera of the present embodiment Sequence diagram for explaining in detail an example of an operation procedure of automatic recording in the wearable camera system of the present embodiment The figure which shows an example of the captured image in the state where the police officer held his handgun Flowchart for explaining in detail an example of an operation procedure of automatic recording in the wearable camera of this modification Sequence diagram for explaining in detail an example of the operation procedure of automatic recording in the wearable camera system of this modification The flowchart explaining in detail another example of the operation procedure of automatic recording in the wearable camera of this modification The figure which shows the outline | summary of the 1st example of the wearable camera system containing a wearable camera and an active mass meter. The figure which shows the outline | summary of the 2nd example of the wearable camera system containing a wearable camera, an active mass meter, and a smart phone. Block diagram showing an example of the internal configuration of the activity meter The sequence diagram explaining in detail an example of the operation | movement procedure of the automatic recording in the wearable camera system of the 1st example of 2nd Embodiment The flowchart explaining in detail another example of the operation procedure of the automatic recording in the wearable camera system of the first example of the second embodiment. Sequence diagram for explaining in detail an example of an operation procedure of automatic recording in the wearable camera system of the second example of the second embodiment

  Hereinafter, an embodiment (hereinafter referred to as “this embodiment”) that specifically discloses a wearable camera, a wearable camera system, and a recording control method according to the present invention will be described in detail with reference to the drawings as appropriate. However, more detailed description than necessary may be omitted. For example, detailed descriptions of already well-known matters and repeated descriptions for substantially the same configuration may be omitted. This is to avoid the following description from becoming unnecessarily redundant and to facilitate understanding by those skilled in the art. The accompanying drawings and the following description are provided to enable those skilled in the art to fully understand the present disclosure, and are not intended to limit the subject matter described in the claims.

(First embodiment)
FIG. 1 is a diagram illustrating an example of an outline of the wearable camera system 5 of the present embodiment. The wearable camera system 5 includes an in-vehicle camera system (ICV: In Car Video system) 30 mounted on a police car (that is, a patrol car 7 which is an abbreviation of a patrol car), and a wearable camera (equipped with a uniform of the police officer 3) BWC: Body-Worn Camera (BWC) 10 and a station system 8 installed in the police station 4.

  The in-vehicle camera system 30 includes one or a plurality of in-vehicle cameras 31, an in-vehicle PC (Personal Computer) 32, and an in-vehicle recorder 33. The in-vehicle camera system 30 captures images based on captured images of incidents encountered while traveling in the police car 7. Record. One or a plurality of in-vehicle cameras 31 are, for example, one or a plurality of cameras that are installed so as to capture the front of the police car 7, and each camera that is disposed so as to capture the left, right, and rear of the police car. including. The in-vehicle PC 32 controls the operations of the in-vehicle camera 31 and the in-vehicle recorder 33 in accordance with an instruction operated by the police officer 3. The in-vehicle recorder 33 records video data captured by the plurality of in-vehicle cameras 31 in time series.

  The in-vehicle camera system 30 is wirelessly connected to a back end server (BES) 50 in the station system 8 via a wireless LAN access point 63P in the station system 8. The in-vehicle camera system 30 can select specific video data from the video data recorded in the in-vehicle recorder 33 and transmit it to the back-end server 50 via the wireless LAN access point 63P. The in-vehicle camera system 30 is communicably connected to the wearable camera 10 and records video data captured by the wearable camera 10 and collected sound data in the in-vehicle recorder 33. In the following description, it is assumed that the voice data includes, for example, gunshots when a handgun held by a suspect or criminal of a case fires during patrol or at the scene of the case.

  Wearable camera 10 is worn or held in the uniform of police officer 3 who is a user, images the atmosphere in front of the police officer as a subject, and transmits the captured video data and collected audio data to in-vehicle camera system 30. To do. Hereinafter, the subject to be imaged by the wearable camera 10 and the in-vehicle camera 31 is not limited to a person, but a scene at the scene of the incident, a crowd crowded near the scene (so-called field horses), and an atmosphere around the imaging position. Is also included. The police officer 3 possesses a police radio terminal 35 as an example of a radio communication terminal that receives a command from the command system 90. Normally, the police officer 3 carries the police radio terminal 35 to the scene during activities outside the police station, such as when rushing to the scene during a patrol or when an incident occurs. The police officer 3 may have a smartphone 40 as an example of a communication terminal that can communicate with the wearable camera 10. The smartphone 40 has a telephone function and a wireless communication function, and is used as an example of a mobile terminal that is used for general use, for example, in emergency contact from the police station 4 or emergency contact to the police station.

  The wearable camera 10 is connected to the back-end server 50 directly via the in-vehicle camera system 30 or via the smartphone 40 or the wireless LAN (Local Area Network) access point 45, so that video data and audio data are obtained. Can be transmitted to the back-end server 50. The smartphone 40 is connected to the back end server 50 via a mobile communication network or the Internet network. The wireless LAN access point 45 is connected to the back-end server 50 via a wired or wireless network (such as the Internet network). In addition, the wearable camera 10 can be manually attached to a collective charging stand 89 described later, thereby transmitting video data and audio data to the back-end server 50.

  The in-station system 8 includes a back-end server 50, a back-end streaming server (BSS) 65, a back-end client (BEC) 70, a wireless LAN access, which are installed inside the police station 4. The configuration includes a point 63P, a collective charging stand 89, and a command system 90.

  The back-end server 50 is configured to include a computer and a storage, and manages incident evidence videos. For example, the back-end server 50 has a face recognition function for recognizing a face in an image frame that constitutes an image captured by the wearable camera 10 or the in-vehicle camera 31, and cut-out data ( And a voice recognition function for recognizing voice data included in the data (see below). Further, the back-end server 50 has a voice database (not shown) in which predetermined voice data related to patrol or an incident (that is, voice data having a high possibility of being generated during patrol or at the scene of the incident) is registered. The default voice data related to patrols or incidents includes, for example, gunshots when fired by suspects or police officers, or voices issued by police officers who have been instructed in advance to be issued when they feel dangerous in the event of a patrol or incident. , Voice data such as a sound when a police officer falls to the ground or the like (for example, “Dosatsu”) is included. The back-end server 50 performs voice recognition on voice data included in cut-out data (described later) transmitted from the in-vehicle camera system 30 or the wearable camera 10, and is registered in the voice and voice database obtained by voice recognition. Check the voice. In addition, as long as the back-end server 50 can access, the storage which memorize | stores an audio | voice database may be installed in the police station 4, and may be installed in the exterior of the police station 4.

  The back-end streaming server 60 receives video data streamed from the wearable camera 10 and transfers it to the back-end server 50. Further, the back-end streaming server 60 may receive the video data streamed from the in-vehicle camera system 30 and transfer it to the back-end server 50.

  The back-end client 70 is composed of, for example, a PC, accesses a suspicious person database (not shown) of the back-end server 50, searches for information related to an incident such as a criminal, and displays the search result as a display device (for example, a back-end client). 70 has a browser or a dedicated application that can be displayed on an LCD (Liquid Crystal Display) provided in advance. The suspicious person database is registered in advance in association with information (for example, case number) for identifying a case by, for example, a person being nominated or a past criminal. Further, the back-end client 70 can access the voice database of the back-end server 50 and search for information related to an incident such as a criminal. The back-end client 70 may be installed not only inside the police station 4 but also outside the police station 4. Further, the back-end client 70 may be either a thin client PC or a rich client PC.

  The wireless LAN access point 63P is wirelessly connected to the in-vehicle camera system 30 and the wearable camera 10 through a wireless LAN (W-LAN), and the video data and audio data recorded in the in-vehicle camera system 30 and the wearable camera 10 are recorded. Video data and audio data are transferred to the back-end server 50.

  The collective charging stand 89 can be worn with the wearable cameras 10 worn by or possessed by a plurality of police officers 3. The collective charging stand 89 can charge the power supply of each worn wearable camera 10 and can perform wired communication with the wearable camera 10. And the video data and audio data stored in the wearable camera 10 are transmitted to the back-end server 50. The collective charging stand 89 is connected to the back-end server 50 via a USB (Universal Serial Bus) cable.

  The command system 90 includes a police radio base station device (not shown) as an example of a radio communication device, is connected to the back-end server 50, and transmits commands to various places managed by the police station 4. The police station 4 is provided with a police radio system for transmitting a command to each police officer. When an incident occurs, the command system 90, for example, in response to an instruction from the back-end server 50, responds to the police car 7 on which the police officer who is dispatched to the scene of the incident gets on or the police radio terminal 35 possessed by the police officer. Various dispatch commands, such as on-site express, on-site security, suspected security, and support for police officers who arrive at the site, are transmitted wirelessly. The command system 90 may issue a command to a police officer dispatched to the scene of the incident according to an instruction input by the police officer. Further, the command system 90 does not have to be directly connected to the back-end server 50. When an incident occurs, the command system 90 is independent from the back-end server 50 and is sent from the police radio base station device to the scene of the incident. The above-mentioned various dispatch commands may be transmitted to the police car 7 or police radio terminal 35 to be dispatched.

  When the in-vehicle camera system 30 is used in the wearable camera system 5, the wearable camera 10 is connected to the in-vehicle camera system 30 so as to be able to transfer data by short-range wireless communication or wired communication using a signal cable such as USB. . The video data captured by the wearable camera 10 and the collected audio data are transferred to the in-vehicle camera system 30, reproduced, recorded, or recorded by the in-vehicle camera system 30, and transmitted to the back-end server 50.

  The in-vehicle camera system 30 records the video data captured by the in-vehicle camera 31 and the video data and audio data captured by the wearable camera 10 in the in-vehicle recorder 33, and cuts out a section of the sound collected by the wearable camera 10. Cut data including the cut voice is transmitted to the back-end server 50 via the wireless LAN. When a loud sound suddenly appears, the voice segment is cut out so as to include the voice. It should be noted that the audio section may be cut out so that a certain section is sampled at a certain period. In this case, only a sound with a small surrounding volume is cut out in a section where no sudden sound appears.

  In the wearable camera system 5, when the wearable camera 10 is directly connected to a network and used, the wearable camera 10 is connected to the wireless LAN access point 45 or the smartphone 40 so that data can be transferred. The connection between the wearable camera 10 and the smartphone 40 is, for example, short-range wireless communication such as BLE (Bluetooth (registered trademark) Low Energy) or tethering that allows one of the wearable camera 10 or the smartphone 40 to function as a wireless LAN access point. Wireless LAN communication is used. The wearable camera 10 transmits the recorded video data and audio data to the backend server 50 via the wireless LAN access point 45 or the smartphone 40.

  The police officer 3 returns to the police station 4 and attaches the wearable camera 10 to the collective charging stand 89, so that the collective charging stand 89 charges the wearable camera 10 and attaches to the wearable camera 10 via the USB cable. The recorded video data and audio data can be transmitted to the back-end server 50.

  When the back-end server 50 receives the video data via the back-end streaming server 60 or directly from the wearable camera 10 or the in-vehicle camera system 30, the back-end server 50 records and accumulates the transmitted video data in the storage. Further, when the back-end server 50 receives the cut-out data from the in-vehicle camera system 30 and the wearable camera 10, the back-end server 50 recognizes the voice included in the cut-out data, and registers the predetermined voice data regarding the patrol or the case in the pre-registered voice database. The voice is collated and the result of the collation is notified to the in-vehicle camera system 30 and the wearable camera 10.

  Further, when the police officer 3 operates the back-end client 70 and requests the back-end server 50 to search for sound related to the incident, the back-end server 50 responds to the request from the back-end client 70. Inquires about the voice registered in the voice database.

  FIG. 2 is a diagram illustrating an example of the upper body of the police officer 3 wearing the wearable camera 10 of the present embodiment. Wearable camera 10 is placed in front of the uniform of police officer 3 so that the front of police officer 3 can be imaged. For example, the wearable camera 10 may be fixed to the front part of the uniform in a state where it is suspended from the neck with a string, or an attachment (for example, attachment) attached to the back surface of the housing 10z (see FIG. 3) of the wearable camera 10 For example, the clip may be fixed to the front part of the uniform by engaging the attachment tool attached to the front part of the uniform.

  FIG. 3 is a front view showing an example of the front side surface of the housing 10z of the wearable camera 10 of the present embodiment. A recording switch SW1, a snapshot switch SW2, and an imaging lens 11z are arranged on the front surface of the housing 10z. The recording switch SW1 is instructed to start recording by being pressed for a short time, and instructed to stop recording by being pressed for a long time (for example, an operation in which the pressing state is continued for 3 seconds). Each time the snapshot switch SW2 is pressed, the snapshot switch SW2 instructs to record a still image captured by the imaging unit 11. The imaging lens 11z forms an optical image of a subject imaged by the wearable camera 10 on the imaging surface of the imaging unit 11 (see FIG. 4).

  A communication mode switch SW3 and an attribute information giving switch SW4 are arranged on the side surface of the housing 10z. Three LEDs 26a, 26b, and 26c are arranged on the upper surface of the housing 10z. The LED 26a displays the power on / off state of the wearable camera 10 and the state of the battery 25 (see FIG. 4). The LED 26b displays the state of the imaging operation of the wearable camera 10. The LED 26c displays the state of the communication mode of the wearable camera 10.

  FIG. 4 is a block diagram illustrating an example of an internal configuration of the wearable camera 10 according to the present embodiment. The wearable camera 10 includes an imaging unit 11, a GPIO 12 (General Purpose Input / Output), a RAM (Random Access Memory) 13, a ROM (Read Only Memory) 14, and a storage unit 15. The wearable camera 10 includes an EEPROM (Electrically Erasable Programmable ROM) 16, an RTC (Real Time Clock) 17, and a GPS (Global Positioning System) receiver 18. The wearable camera 10 includes an MCU (Micro Controller Unit) 19, a communication unit 21, a USB interface (I / F) 22, a contact terminal 23, a power supply unit 24, and a battery 25.

  The wearable camera 10 includes a recording switch SW1, a snapshot switch SW2, a communication mode switch SW3, and an attribute information addition switch SW4.

  The wearable camera 10 includes three LEDs (Light Emitting Diodes) 26a, 26b, and 26c, and a vibrator 27. The LEDs 26a, 26b, 26c and the vibrator 27 function as an example of a notification unit that notifies the user.

  The imaging unit 11 includes an imaging lens 11z (see FIG. 3) and a solid-state imaging device such as a CCD (Charge Coupled Device) type image sensor or a CMOS (Complementary Metal Oxide Semiconductor) type image sensor. The imaging unit 11 outputs the subject image data obtained by imaging to the MCU 19.

  Detection terminal CON. As will be described later, DET is a terminal at which a voltage change occurs when wearable camera 10 is placed (set) on collective charging stand 89 or removed from collective charging stand 89. Detection terminal CON. DET is connected to the AD converter CV. Detection terminal CON. A signal indicating a voltage change of DET is converted into a digital signal by the AD converter CV, and the digital signal is input to the MCU 19 via the I2C 20.

  The GPIO 12 is a parallel interface. Connected to the GPIO 12 are a recording switch SW1, a snapshot switch SW2, a communication mode switch SW3, an attribute information assignment switch SW4, LEDs 26a, 26b, and 26c, a vibrator 27, an audio output unit 28, an earphone terminal 29C, a speaker 29B, and a microphone 29A. The The GPIO 12 inputs and outputs signals between these various electronic components and the MCU 19. The microphone 29 </ b> A as a sound collection unit collects sound around the wearable camera 10 and outputs sound data of the collected sound to the MCU 19 via the GPIO 12. Note that the microphone 29 </ b> A may be a built-in microphone housed in the housing 10 z of the wearable camera 10 or a wireless microphone wirelessly connected to the wearable camera 10. In the case of a wireless microphone, the sound pickup performance can be improved by attaching the police officer to an arbitrary location. The voice output unit 28 outputs a voice signal related to the operation of the wearable camera 10 under the instruction of the MCU 19 in accordance with, for example, an input operation of the police officer 3. The audio output unit 28 reads out audio data stored in advance in the ROM 14 or the like, or synthesizes the audio data to output an audio signal for generating a predetermined audio. The earphone terminal 29 </ b> C outputs an audio signal output from the audio output unit 28. The speaker 29 </ b> B receives the audio signal output from the audio output unit 28, generates a sound and outputs it.

  The gyro sensor GY, the acceleration sensor AC, and the AD converter CV are connected to the MCU 19 via a communication interface such as an I2C (Inter-Integrated Circuit) 20. Note that the 23 detection terminals CON. A similar effect can be obtained by connecting DET to GPIO 12 without using AD converter CV.

  The RAM 13 is a work memory used in the operation of the MCU 19, for example. The ROM 14 stores in advance a program and data for controlling the MCU 19, for example.

  The storage unit 15 as an example of a recording unit is configured by a storage medium such as a memory card, for example, and records video data captured by the imaging unit 11 based on an instruction to start automatic recording (that is, an instruction to start recording). Start. The storage unit 15 always holds pre-buffered video data captured for a predetermined time, and continues to store video data up to a predetermined time (for example, 30 seconds) before the current time. When receiving a recording start instruction, the storage unit 15 starts recording video data and continues recording video data thereafter until receiving a recording stop instruction. The storage unit 15 has a setting data file in which resolution-up information and the like are set. For example, when the storage unit 15 is configured by a memory card, the storage unit 15 is detachably attached to the housing 10z of the wearable camera 10.

  The EEPROM 16 stores, for example, identification information for identifying the wearable camera 10 (for example, a serial number as a Camera ID) and various setting information. The RTC 17 counts the current time information and outputs it to the MCU 19.

  The GPS receiver 18 receives satellite signals including their own signal transmission times and position coordinates transmitted from a plurality of GPS transmitters (for example, four navigation satellites) and outputs them to the MCU 19. The MCU 19 uses the plurality of satellite signals to calculate the current position coordinates of the wearable camera 10 and the reception time of the satellite signals. This calculation may be executed not by the MCU 19 but by the GPS receiver 18. This reception time information may also be used for correcting the system time of wearable camera 10. The system time is used for recording the imaging time of captured images (including still images and moving images).

  The MCU 19 has a function as a control unit of the wearable camera 10, for example, control processing for overall control of operations of each unit of the wearable camera 10, data input / output processing with each unit of the wearable camera 10, Data calculation (calculation) processing and data storage processing are performed. The MCU 19 operates according to programs and data stored in the ROM 14. During operation, the MCU 19 uses the RAM 13 to obtain current time information from the RTC 17 and obtain current position information from the GPS receiver 18.

  The MCU 19 includes a detection unit 19z that can be realized by executing an application program, and generates audio data obtained by cutting out an audio section from the audio data collected by the microphone 29A using the detection unit 19z. In addition, the detection unit 19z detects an instruction by a voice signal such as a DTMF signal described later in the voice data of the analog sound collected by the microphone 29A. The MCU 19 causes the wearable camera 10 to execute an operation corresponding to the instruction acquired by the detection unit 19z.

  The BLE communication unit 21A as an example of the communication unit communicates with the smartphone 80 or the like using a communication form of BLE (Bluetooth Low Energy) which is a communication standard for short-range wireless communication. BLE is the name of Bluetooth (registered trademark) version 4.0. In BLE, communication is possible with low power consumption, but the communication speed is as low as about 100 kbps.

  When the smartphone 80 operates as an access point using the tethering function, the WLAN communication unit 21B and the wireless LAN access point 63P of the wireless LAN that can be used in the police station 4 and the wireless LAN (that is, WLAN) Connected by wireless communication with the connection destination. Compared with BLE, a wireless LAN can communicate at a high speed of several tens to several hundreds of Mbps, but power consumption increases because it is always connected to a wireless LAN access point.

  The wearable camera 10 includes a communication unit for performing short-range wireless communication such as NFC (Near Field Communication) and wireless communication using a mobile network (for example, LTE: Long Term Evolution) in addition to BLE communication and WLAN communication. Each of the configurations (not shown) may be included. The configuration of the communication unit for performing wireless communication using the WLAN communication unit 21 </ b> B and the above-described mobile network functions as a reception unit that receives an instruction from the command system 90.

  The USB interface 22 is a serial bus, and can be connected to, for example, the in-vehicle camera system 30 and the back-end client 70 in the police station.

  The contact terminal 23 is a terminal for electrically connecting to a cradle (not shown), an external adapter (not shown) or the like, connected to the MCU 19 via the USB interface 22 and also connected to the power supply unit 24. The The contact terminal 23 can charge the battery 25 via the contact terminal 23 and can communicate image data and the like.

  The contact terminal 23 is provided with, for example, “charging terminal V +”, “CON.DET terminal”, “data terminals D−, D +” and “ground terminal” (all not shown). CON. The DET terminal is a terminal for detecting a voltage and a voltage change. The data terminals D− and D + are terminals for transferring an image captured by the wearable camera 10 to an external PC or the like via, for example, a USB connector terminal. CON. Which is the detection terminal of the contact terminal 23. The DET terminal is connected to a communication interface such as I2C20 via the AD converter CV, and the detected voltage value of the contact terminal 23 is input to the MCU 19.

  By connecting the contact terminal 23 and a connector of a cradle (not shown) or an external adapter (not shown), data communication is possible between the wearable camera 10 and an external device.

  For example, the power supply unit 24 supplies the battery 25 with power supplied from a cradle or an external adapter via the contact terminal 23 to charge the battery 25. The battery 25 is constituted by a rechargeable secondary battery, for example, and supplies power to each part of the wearable camera 10.

  The recording switch SW1 is a push button switch for inputting an operation instruction for starting / stopping recording (moving image capturing) by a pressing operation of the police officer 3, for example. For example, when the recording switch SW1 is pressed an odd number of times, recording (moving image capturing) starts, and when the recording switch SW1 is pressed an even number of times, the recording ends. When pressed twice in succession, the recording switch SW1 functions as an emergency button, as will be described later.

  The snapshot switch SW2 is a push button switch for inputting an operation instruction for capturing a still image by a pressing operation of the police officer 3, for example. For example, each time the snapshot switch SW2 is pressed, a still image is captured when the snapshot switch SW2 is pressed.

  The communication mode switch SW3 is a slide switch that inputs an operation instruction for setting a communication mode between the wearable camera 10 and an external device, for example. The communication mode includes, for example, an access point mode, a station mode, and an OFF mode.

  The access point mode is a mode in which the wearable camera 10 operates as a wireless LAN access point and communicates between the wearable camera 10 and the smartphone 40 by wireless connection with the smartphone 40 possessed by the police officer 3, for example. In the access point mode, the smartphone 40 can display the current live image, play the recorded image, display the captured still image, and the like by the wearable camera 10 by connecting to the wearable camera 10.

  The station mode is a mode for communicating with an external device as an access point when connecting to the external device using a wireless LAN. For example, the smartphone 40 may be set as an external device using the tethering function of the smartphone 40. In the station mode, the wearable camera 10 sends various settings, transfer (upload) of recorded images held by the wearable camera 10 to the back-end client 70 and the back-end server 50 in the in-vehicle camera system 30 and the police station 4. Can be done against.

  The OFF mode is a mode in which the wireless LAN communication operation is turned off and the wireless LAN is not used.

  The attribute information giving switch SW4 is a push button switch operated to give attribute information to the video data.

  The LED 26 a is a display unit that indicates a power-on state (on / off state) of the wearable camera 10 and a state of the battery 25, for example. LED26b is a display part which shows the state (recording state) of the imaging operation of the wearable camera 10, for example. LED26c is a display part which shows the state of the communication mode of the wearable camera 10, for example. Further, when the wearable camera 10 receives notification data from the back-end server 50, the three LEDs 26a to 26c perform a blinking operation in accordance with an instruction from the MCU 19. At this time, the MCU 19 changes the blinking pattern of the LEDs 26 a to 26 c according to the information regarding the sound source included in the notification data.

  The gyro sensor GY as an example of the sensor unit detects the angular velocity (that is, the rotation angle per unit time) of the wearable camera 10 and, for example, the police officer 3 wearing or carrying the wearable camera 10 falls (Man Down) is detected. The detection result of the gyro sensor GY is input to the MCU 19 via the I2C20. The wearable camera 10 uses the gyro sensor GY to perform behavior related to the rotation of the police officer 3 wearing or carrying the wearable camera 10 (for example, falling to the ground, being shot with a handgun and falling to the ground, weapons Can be detected with high accuracy).

  The acceleration sensor AC as an example of the sensor unit detects acceleration in three axis directions (so-called x-axis, y-axis, and z-axis) of the orthogonal coordinate system of the wearable camera 10, and wears or carries the wearable camera 10, for example. It is detected that the police officer 3 who has fallen down (Man Down), started running, and that the police officer 3 grasped the handgun owned by the police officer 3 and started shooting. The detection result of the acceleration sensor AC is input to the MCU 19 via the I2C20. The wearable camera 10 can accurately detect a behavior related to the movement or posture of the police officer 3 wearing or holding the wearable camera 10 by using the acceleration sensor AC.

  The MCU 19 detects input of each of the recording switch SW1, the snapshot switch SW2, the communication mode switch SW3, and the attribute information addition switch SW4, and performs processing for the switch input that has been operated.

  When the MCU 19 detects an operation input of the recording switch SW1, the MCU 19 controls the start or stop of the imaging operation in the imaging unit 11, and stores the image obtained from the imaging unit 11 in the storage unit 15 as a moving image.

  When the MCU 19 detects an operation input of the snapshot switch SW2, the MCU 19 stores an image by the imaging unit 11 when the snapshot switch SW2 is operated in the storage unit 15 as a still image.

  The MCU 19 detects the state of the communication mode switch SW3 and operates the communication unit 21 in a communication mode according to the setting of the communication mode switch SW3.

  When the attribute information addition switch SW4 is pressed, the MCU 19 provides the attribute information to the cut-out data including the face image cut out from the image captured by the imaging unit 11.

  FIG. 5A is a block diagram showing in detail an example of the internal configuration of the back-end streaming server 60 of this embodiment. The back-end streaming server 60 as an example of a server receives and accumulates captured video data transmitted from the wearable camera 10 and transfers it to the back-end server 50. The back-end streaming server 60 includes a CPU 61, an I / O control unit 62, a communication unit 63, a memory 64, a storage control unit 67, and a storage 68. Since the back-end streaming server 60 is a PC that transfers data in response to a request from the back-end server 50, it is not essential to include an input unit such as a mouse or a display unit such as a display. May be.

  The CPU 61 performs control processing for overall control of operations of each unit of the back-end streaming server 60, data input / output processing with other units, and data storage processing. The CPU 61 operates according to programs and data stored in the memory 64.

  The memory 64 is configured by using, for example, RAM, ROM, nonvolatile or volatile semiconductor memory, functions as a work memory when the CPU 61 operates, and stores a predetermined program and data for operating the CPU 61. .

  A back-end server 50, a storage control unit 67, and a communication unit 63 are connected to the I / O control unit 62. The back-end streaming server 60 performs data transfer to the back-end server 50 via the I / O control unit 62.

  The communication unit 63 is connected to the wearable camera 10 via the wireless communication network between the back-end streaming server 60 and the smartphone 40 and the smartphone 40, and receives video data transmitted from the wearable camera 10.

  The storage control unit 67 controls the operation of the storage 68. The storage 68 is a storage device such as an SSD or HDD that is controlled by the storage control unit 67, and stores video data transmitted from the wearable camera 10 via the I / O control unit 62 in accordance with instructions from the CPU 61.

  FIG. 5B is a block diagram illustrating an example of a hardware configuration of the back-end server 50 according to the present embodiment. The back-end server 50 as an example of the server includes a CPU 51, an I / O control unit 52, a communication unit 53, a memory 54, an input unit 55, a display unit 56, a speaker 59, and a storage control unit 57. And storage 58.

  The CPU 51 performs, for example, control processing for overall control of operations of each unit of the back-end server 50, data input / output processing with other units, data calculation (calculation) processing, and data storage processing. . The CPU 51 operates according to programs and data stored in the memory 54.

  The I / O control unit 52 controls the input / output of data between the CPU 51 and each unit of the back-end server 50 (for example, the communication unit 53, the input unit 55, the display unit 56, and the storage control unit 57). And the data to the CPU 51 are relayed. Note that the I / O control unit 52 may be configured integrally with the CPU 51.

  The communication unit 53 is, for example, wired or wirelessly connected to the in-vehicle recorder 33, the in-vehicle PC 32, or the smartphone 80, to the wearable camera 10 that can be worn or held by the police officer 3, or to the back-end client 70. Communication by.

  The memory 54 is configured using, for example, RAM, ROM, nonvolatile or volatile semiconductor memory, functions as a work memory when the CPU 51 operates, and stores a predetermined program and data for operating the CPU 51. .

  The input unit 55 is a UI (User Interface) for receiving an input operation of a person in charge in the police officer 3 or the police station 4 and notifying the CPU 51 via the I / O control unit 52. For example, a mouse, a keyboard, or the like It is a pointing device. The input unit 55 may be configured using, for example, a touch panel or a touch pad that is arranged in correspondence with the screen of the display unit 56 and can be operated with a finger or a stylus pen of the police officer 3 or the person in charge. The back-end server 50 can also be operated from a back-end client 70 connected via a network within the police station 4.

  The display part 56 is comprised, for example using LCD or organic EL, and displays various information. For example, when an image captured or recorded by the wearable camera 10 is input in response to an input operation of the police officer 3 or a person in charge, the display unit 56 displays this image on the screen under the instruction of the CPU 51. To do. For example, when an image captured or recorded by the in-vehicle camera 31 is input in response to an input operation of the police officer 3 or a person in charge, the display unit 56 displays this image on the screen under the instruction of the CPU 51. To do. When operated from the back-end client 70 connected via the network in the police station 4, various information is displayed on the back-end client 70.

  The speaker 59 outputs the sound under the instruction of the CPU 51 when the sound collected by the wearable camera 10 is input in response to the input operation of the police officer 3 or the person in charge, for example. When operated from the back-end client 70 connected via the network in the police station 4, the sound is output to a speaker connected to the back-end client 70.

  When the CPU 51 requests the back-end streaming server 60 to transmit the accumulated captured video data, the storage control unit 57 controls operations such as storing the received video data in the storage 58 in response to the request. To do. The storage 58 is a storage device such as an SSD or HDD that is controlled by the storage control unit 57, and stores captured video data transmitted from the wearable camera 10 via the I / O control unit 52 in accordance with instructions from the CPU 51. To do.

  FIG. 5C is a block diagram illustrating an example of a hardware configuration of the back-end client 70 of the present embodiment. The back-end client 70 includes a CPU 151, an I / O control unit 152, a communication unit 153, a memory 154, an input unit 155, a display unit 156, and a speaker 159.

  The CPU 151 performs, for example, control processing for overall control of operations of each unit of the back-end client 70, data input / output processing with other units, data calculation (calculation) processing, and data storage processing. . The CPU 151 operates in accordance with programs and data stored in the memory 154.

  The I / O control unit 152 controls data input / output between the CPU 151 and each unit (for example, the communication unit 153, the input unit 155, and the display unit 156) of the back-end client 70, and sends data from the CPU 151 and the CPU 151. Relay data. Note that the I / O control unit 152 may be configured integrally with the CPU 151.

  The communication unit 153 performs wired communication with the wearable camera 10 connected to the wired LAN in the police station 4. The communication unit 153 is wired between the in-vehicle recorder 33, the in-vehicle PC 32, or the smartphone 80, between the wearable camera 10 that can be worn or held by the police officer 3, or between the back-end server 50 and the like. Alternatively, wireless communication may be performed.

  The memory 154 is configured using, for example, RAM, ROM, nonvolatile or volatile semiconductor memory, functions as a work memory when the CPU 151 operates, and stores a predetermined program and data for operating the CPU 151. .

  The input unit 155 is a UI (User Interface) for receiving an input operation of a person in charge in the police officer 3 or the police station 4 and notifying the CPU 151 via the I / O control unit 152. For example, a mouse, a keyboard, or the like It is a pointing device. The input unit 155 may be configured using, for example, a touch panel or a touch pad that is arranged corresponding to the screen of the display unit 156 and can be operated with the fingers of the police officer 3 or the person in charge or a stylus pen.

  The display unit 156 is configured using, for example, an LCD or an organic EL, and displays various types of information. For example, when an image captured or recorded by the wearable camera 10 is input in response to an input operation of the police officer 3 or a person in charge, the display unit 156 displays the image on the screen under the instruction of the CPU 151. To do. The display unit 156 displays the video on the screen under the instruction of the CPU 151 when a video imaged or recorded by the in-vehicle camera 31 is input in response to an input operation of the police officer 3 or the person in charge, for example. To do.

  The speaker 159 outputs the sound under the instruction of the CPU 151 when the sound collected by the wearable camera 10 is input according to the input operation of the police officer 3 or the person in charge, for example.

  Next, a procedure for starting automatic recording in the wearable camera 10 of the present embodiment will be described with reference to FIG. FIG. 6 is a flowchart for explaining in detail an example of an operation procedure of automatic recording in the wearable camera 10 of the present embodiment.

  In FIG. 6, the wearable camera 10 waits until the power is turned on (S1, NO). For example, when the wearable camera 10 is turned on by an operation of the police officer 3 (S1, YES), the wearable camera 10 starts imaging in the imaging unit 11 with the front of the police officer 3 as a subject (S2). If the wearable camera 10 is recording (that is, while the captured video data captured in step S2 is being stored in the storage unit 15) (S3, YES), the process of the wearable camera 10 returns to step S2.

  If the wearable camera 10 is not recording (that is, while the captured video data captured in step S2 is being stored in the storage unit 15) (S3, NO), has the wearable camera 10 detected the gunshot of the handgun? It is determined whether or not (S4). The method for detecting the gunshot of the handgun is a known technique. For example, the frequency characteristics of the sound collected by the microphone 29A of the wearable camera 10 by the detection unit 19z of the MCU 19, and the gunshot of the handgun registered in the storage unit 15 in advance. It is judged by whether or not the frequency characteristics match.

  When the wearable camera 10 determines that the gunshot of the handgun has been detected (S4, YES), the wearable camera 10 stores (that is, records) the captured video data captured in step S2 in the storage unit 15 (S7). As a result, the wearable camera 10 can automatically start recording as soon as the gunshot of a handgun (for example, the handgun of the police officer 3 wearing or holding the wearable camera 10) is detected, so that the gunshot of the handgun is detected. It is possible to leave an image of the atmosphere of such a tense site as evidence video.

  The wearable camera 10 is similarly imaged even when a gunshot is detected when a handgun possessed by a person other than the police officer 3 wearing or holding the wearable camera 10 (for example, a suspect who is running away from the incident). Video data may be recorded. Thus, even when the wearable camera 10 is fired by a handgun possessed by a person other than the police officer 3 who wears or holds the wearable camera 10, the police officer 3 himself can detect the gunshot at the time of firing, Even when the camera is not fired, the captured video data can be recorded and left.

  On the other hand, even when wearable camera 10 does not determine that the gunshot of a handgun has been detected (S4, NO), acceleration sensor AC acquires acceleration data in three axial directions (S5). The wearable camera 10 uses the acceleration data acquired in step S5 to determine the behavior of the police officer 3 wearing or possessing the wearable camera 10 in the detection unit 19z as an example of a determination unit (S6). The determination in step S6 depends on whether or not each process in steps S6-1, S6-2, and S6-3 is executed.

  Specifically, wearable camera 10 detects whether police officer 3 has started running (S6-1). That is, the wearable camera 10 holds the first known data indicating the statistical change of the acceleration data when the person suddenly starts running in the storage unit 15, and the acceleration data acquired in step S5 is the first known data. The detection unit 19z determines whether or not the data match (for example, whether the difference value between the acceleration data and the first known data is within the first predetermined value, and so on). When the acceleration data matches the first known data, for example, the wearable camera 10 determines that the police officer 3 suddenly starts running from a stopped state (S6-1, YES), and captures the captured video data captured in step S2. The data is stored (that is, recorded) in the storage unit 15 (S7). As a result, the wearable camera 10 can automatically start recording when, for example, the chasing suspect who is running away from the incident starts chasing or being chased. Can be left as evidence video.

  On the other hand, when the police officer 3 is not running (S6-1, NO), the wearable camera 10 detects whether the police officer 3 has fallen (S6-2). That is, the wearable camera 10 holds the second known data indicating the statistical change of the acceleration data when the person falls down in the storage unit 15, and the acceleration data acquired in step S5 is the second known data. The detection unit 19z determines whether or not they match (for example, whether the difference value between the acceleration data and the second known data is within the second predetermined value, and so on). When the acceleration data matches the second known data, the wearable camera 10 stores the captured video data captured in step S2 in the storage unit 15 (ie, if the police officer 3 falls down (S6-2, YES)) (ie, , Recording) (S7). As a result, the wearable camera 10 can automatically start recording when, for example, it is beaten by a suspect who is escaping from the incident and defeated. Can be left as evidence video.

  On the other hand, when the police officer 3 has not fallen (S6-2, NO), the wearable camera 10 detects whether the police officer 3 has his own handgun and takes a shooting posture (S6-3). In other words, the wearable camera 10 holds the third known data in the storage unit 15 indicating statistical changes in acceleration data when the police officer holds a handgun held by himself and takes a shooting posture. It is detected whether or not the acceleration data acquired in S5 matches the third known data (for example, whether the difference value between the acceleration data and the third known data is within a third predetermined value, and so on). The determination is made at the part 19z. When the acceleration data matches the third known data, the wearable camera 10 assumes that, for example, the police officer 3 takes a shooting posture with his own handgun (S6-3, YES), and the captured image captured in step S2 Data is stored (that is, recorded) in the storage unit 15 (S7). As a result, the wearable camera 10 can automatically start recording when, for example, the suspect who is running away from the incident is chased and has a handgun to take a shooting posture, so that the atmosphere of the on-site atmosphere that is chased to the suspect Video can be left as evidence video.

  On the other hand, when the police officer 3 does not have a shooting posture with his own handgun (S6-3, NO), the process of the wearable camera 10 returns to step S2.

  Next, a procedure for starting automatic recording performed by the wearable camera 10 based on the cooperation between the wearable camera 10 and the back-end server 50 according to the present embodiment will be described with reference to FIG. FIG. 7 is a sequence diagram illustrating in detail an example of an operation procedure of automatic recording in the wearable camera system 5 of the present embodiment. In FIG. 7, the wearable camera 10 is represented as BWC, and the back-end server 50 is represented as BES. In the description of FIG. 7, the wearable camera 10 and the back-end server 50 may be in a state where they can perform wireless communication with each other. For example, the wearable camera 10 and the back-end server 50 may directly perform wireless communication, or the wearable camera. 10 and the back-end server 50 may communicate wirelessly via the smartphone 40.

  In FIG. 7, wearable camera 10 performs steps S1 to S4 as shown in FIG. 6, and after step S4, step S5 (that is, acceleration sensor AC acquires acceleration data in three axial directions). (S5). Each time the wearable camera 10 acquires acceleration data in step S5, the wearable camera 10 generates a determination request including the acquired acceleration data, and repeatedly transmits it to the back-end server 50 periodically (for example, every 100 msec) (S11). The determination request is made by the police officer 3 using the acceleration data acquired by the wearable camera 10 in accordance with a predetermined action (specifically, the action in step S12-1 corresponding to step S6-1, and corresponding to step S6-2). The back end server 50 is requested to determine whether or not the action of step S12-2 or the action of step S12-3 corresponding to step S6-3 has been performed.

  When the back-end server 50 receives the determination request transmitted in step S11 a plurality of times (that is, the number of times enough to obtain a plurality of acceleration data), the back-end server 50 wears the wearable camera 10 or uses the plurality of acceleration data. The action of the police officer 3 possessed is judged (S12). The determination in step S12 depends on, for example, whether or not each process in steps S12-1, S12-2, and S12-3 is executed.

  Specifically, the back-end server 50 detects whether the police officer 3 has started running (S12-1). That is, the back-end server 50 holds the first known data indicating the statistical change of the acceleration data when the person suddenly starts running in the storage 58, and the received acceleration data is the first known data. It is determined whether or not they match (for example, whether the difference value between the acceleration data and the first known data is within the first predetermined value, and so on). When the acceleration data matches the first known data, the back-end server 50 generates a recording start instruction for the captured video data, for example, if the police officer 3 suddenly starts running from a stopped state (S12-1, YES). (S13). The back-end server 50 transmits this recording start instruction to the wearable camera 10 (S14). Wearable camera 10, upon receiving the recording start instruction transmitted from back-end server 50, starts recording the captured video data captured in step S2 (S15). Thereby, the wearable camera 10 automatically, for example, when it is more accurately determined than the wearable camera 10 that the backend server 50 has started chasing or chasing the suspect who is running away from the incident. Since the recording can be started, it is possible to leave an image of the atmosphere of the on-site atmosphere so tight that the suspect was witnessed as evidence video. Further, the wearable camera 10 can more accurately determine that the police officer 3 has started running in the back-end server 50, so that it can record a video of a necessary capacity when necessary.

  On the other hand, when the police officer 3 has not started running (S12-1, NO), the back-end server 50 detects whether the police officer 3 has fallen (S12-2). In other words, the back-end server 50 holds the second known data indicating the statistical change in the acceleration data when the person falls down in the storage 58, and the received acceleration data matches the second known data. (For example, whether the difference value between the acceleration data and the second known data is within the second predetermined value, and so on). When the acceleration data matches the second known data, the back-end server 50 generates a recording start instruction for the captured video data (S13), for example, assuming that the police officer 3 has fallen (S12-2, YES). The back-end server 50 transmits this recording start instruction to the wearable camera 10 (S14). Wearable camera 10, upon receiving the recording start instruction transmitted from back-end server 50, starts recording the captured video data captured in step S2 (S15). Thereby, the wearable camera 10 automatically records, for example, when the back-end server 50 determines more accurately that the wearable camera 10 has been beaten and defeated by a suspect who is running away from the incident. Since it is possible to start, it is possible to leave a video of a tense atmosphere as the police officer 3's consciousness is far away as evidence video. Further, since the wearable camera 10 can more accurately determine that the police officer 3 has fallen in the back-end server 50, it can record a video of a necessary capacity when necessary.

  On the other hand, when the police officer 3 has not fallen (S12-2, NO), the back-end server 50 detects whether the police officer 3 has his own handgun and takes a shooting posture (S12-3). In other words, the back-end server 50 holds the third known data in the storage 58 indicating statistical changes in acceleration data when the police officer holds a handgun owned by the police officer and takes a shooting posture. It is determined whether the obtained acceleration data matches the third known data (for example, whether the difference value between the acceleration data and the third known data is within a third predetermined value, and so on). When the acceleration data coincides with the third known data, for example, if the police officer 3 holds his own handgun and takes a shooting posture (S12-3, YES), the back-end server 50 instructs the recording start of the captured video data. Is generated (S13). The back-end server 50 transmits this recording start instruction to the wearable camera 10 (S14). Wearable camera 10, upon receiving the recording start instruction transmitted from back-end server 50, starts recording the captured video data captured in step S2 (S15). As a result, when the wearable camera 10 is more accurately determined by the back-end server 50, for example, by the back-end server 50, it is more accurately determined that the suspicious person who is running away from the incident has been caught up and has a shooting posture with a handgun. Since the recording can be started automatically, a video of a tense atmosphere that can be followed by the suspect can be left as evidence video. In addition, the wearable camera 10 can more accurately determine that the police officer 3 has his own handgun and takes a shooting posture in the back-end server 50. Therefore, the wearable camera 10 can record a video of a necessary capacity when necessary.

  On the other hand, when the police officer 3 does not have a shooting posture with his own handgun (S12-3, NO), the back-end server 50 wears a response that the police officer does not perform the predetermined action described above. It transmits to the camera 10 (S16). After the response transmitted in step S16 is received by wearable camera 10, the process of wearable camera 10 returns to step S2 (see FIG. 6) or step S5. Even if the response in step S16 is returned to the wearable camera 10, if the wearable camera 10 detects the gunshot of a handgun, the wearable camera 10 is imaged in step S2, as described with reference to FIG. Recording of the captured image data may be started. Further, regarding the operation of the wearable camera 10 in FIG. 7, the dotted line portion AA is in a standby state without any particular processing by the wearable camera 10, and the same applies to the dotted line portion AA shown in FIG.

  As described above, the wearable camera 10 according to the present embodiment can be worn or possessed by the police officer 3 as an example of the user. The wearable camera 10 images the subject in front of the police officer 3 (for example, the scene of the incident scene), and Information (for example, acceleration data) is acquired. The wearable camera 10 determines whether or not a predetermined action (the above-mentioned predetermined action) has been performed by the police officer based on the acquired information regarding the movement of the police officer 3, and the predetermined action has been performed. If it is determined, recording of the captured image data is started in the MCU 19 as an example of a recording control unit.

  As a result, the wearable camera 10 can be used even when the police officer 3 does not perform manual operation to start recording in an urgent situation where the police officer 3 is chasing a suspect who is running away from the incident. Recording omission can be started and recording omission can be reduced. Therefore, the wearable camera 10 can efficiently support the operations of the police officer 3.

  The wearable camera 10 determines whether the police officer 3 has started running as a predetermined action. As a result, the wearable camera 10 can automatically start recording when, for example, the chasing suspect who is running away from the incident starts chasing or being chased. Can be left as evidence video.

  Wearable camera 10 determines whether police officer 3 has taken a shooting posture using a handgun possessed by police officer 3 as a predetermined action. As a result, the wearable camera 10 can automatically start recording when, for example, the suspect who is running away from the incident is chased and has a handgun to take a shooting posture, so that the atmosphere of the on-site atmosphere that is chased to the suspect Video can be left as evidence video.

  Wearable camera 10 determines whether police officer 3 has fallen to the ground or the like as a predetermined action. As a result, the wearable camera 10 can automatically start recording when, for example, it is beaten by a suspect who is escaping from the incident and defeated. Can be left as evidence video.

  Wearable camera 10 has microphone 29A that collects sound, and determines whether the sound collected by microphone 29A is the gunshot of a handgun. As a result, the wearable camera 10 can automatically start recording as soon as the gunshot of a handgun (for example, the handgun of the police officer 3 wearing or holding the wearable camera 10) is detected, so that the gunshot of the handgun is detected. It is possible to leave an image of the atmosphere of such a tense site as evidence video.

  The wearable camera system 5 of the present embodiment has a configuration in which a wearable camera 10 that can be worn or possessed by a police officer 3 and a back-end server 50 are connected so as to be communicable. The wearable camera 10 captures an image of a subject in front of the police officer 3 (for example, a scene of the incident scene) and acquires information (for example, acceleration data) regarding the movement of the police officer 3. The wearable camera 10 transmits a determination request including information regarding the acquired movement of the police officer 3 to the back-end server 50. When the back-end server 50 receives the determination request, the back-end server 50 determines whether or not a predetermined action (the predetermined action described above) has been performed by the police officer 3 based on the information regarding the movement of the police officer 3 included in the determination request. To do. If the back-end server 50 determines that the predetermined action has been performed, the back-end server 50 generates a recording start instruction for instructing the recording start of the captured video data, and transmits the recording start instruction to the wearable camera 10. When receiving the recording start instruction transmitted from the back-end server 50, the wearable camera 10 starts recording the captured video data in accordance with the received recording start instruction.

  As a result, the wearable camera system 5 can be applied to the wearable camera system 3 even if the police officer 3 does not perform manual operation to start recording in an urgent situation where the police officer 3 is chasing a suspect who is running away from the incident. Compared with the case where the camera 10 determines alone, the back-end server 50 can determine whether or not the police officer 3 has performed a predetermined action with high accuracy. Therefore, the wearable camera 10 can start the recording of the captured video data based on the highly accurate detection of the predetermined action of the police officer 3, and can reduce the video recording omission regarding an important incident site. Therefore, the wearable camera 10 can efficiently support the operations of the police officer 3.

(Modification of the first embodiment)
In the above-described embodiment, the wearable camera 10 captures a captured image when the wearable camera 10 detects a gunshot or when the wearable camera 10 or the back-end server 50 determines that a predetermined action has been performed based on acceleration data. Started automatic recording of data.

  In the modification of the above-described embodiment (hereinafter referred to as “this modification”), the wearable camera 10 determines whether or not the police officer 3 has performed a predetermined action by analyzing the captured image data. When it is determined by video analysis that the police officer 3 has performed a predetermined action, automatic recording of the captured video data is started.

  FIG. 8 is a diagram illustrating an example of the captured image IM1 in a state where the police officer 3 holds his / her handgun GN. In this modification, it is assumed that the police officer 3 is provided with a marker MK in advance on the handgun GN used by the police officer 3. The captured image IM1 in FIG. 8 shows a situation in which, for example, a suspect ACC escaping regarding an incident is threatening the police officer 3 with a handgun. In the present modification, the wearable camera 10 can detect the captured video data even when various situations relating to the holding of the handgun GN can be detected by video analysis of the captured image IM1, as shown in the captured image IM1 of FIG. Start recording.

  FIG. 9 is a flowchart for explaining in detail an example of an operation procedure of automatic recording in the wearable camera 10 of the present modification. In the description of FIG. 9, the same processing as that of FIG. 6 is assigned the same step number, and the description is simplified or omitted, and different contents will be described.

  In FIG. 9, when the police officer 3 has his own handgun GN and is not shooting (S6-3, NO), the wearable camera 10 analyzes the captured image captured in step S2 in the analysis unit 19y. (S21). The analysis unit 19y detects whether or not the police officer 3 has a predetermined action (for example, holding a handgun GN to be used by himself) by a known analysis process on the captured image captured by the imaging unit 11.

  Wearable camera 10, when it is determined in analysis unit 19y that police officer 3 has performed a predetermined action (for example, holding handgun GN used by himself) (S21, YES), the image taken in step S2 The video data is stored (that is, recorded) in the storage unit 15 (S7).

  As a result, when the wearable camera 10 determines that the police officer 3 is holding a handgun, for example, by analyzing the captured image (that is, when the escalator suspected of the incident is facing the handgun GN). Since the recording can be started automatically, it is possible to leave an image of the atmosphere of a tense site as tight as conducting a bargaining with the suspect as an evidence video.

  On the other hand, when the analysis unit 19y determines that the police officer 3 is not performing a predetermined action (for example, having a handgun GN used by himself / herself) (S21, NO), the process of the wearable camera 10 proceeds to step S2. Return.

  Here, the wearable camera 10 can determine in the analysis unit 19y that the police officer 3 has performed a predetermined action (for example, holding a handgun GN used by itself) by, for example, the following three methods. it can.

  First method (see S6A-1 in FIG. 11): For example, the analysis unit 19y recognizes the arm of the police officer 3 in the captured image (more specifically, how to hold the arm in a shooting posture) In the case of recognizing the handgun GN at the upper part of the arm), it is determined that the police officer 3 has performed a predetermined action (for example, holding a handgun GN used by himself). That is, in the first method, the pattern image of the arm posture (in other words, the arm posture holding the handgun) taken in the shooting posture and the pattern image of the handgun are held in the storage unit 15. In this case, the analysis unit 19y refers to the storage unit 15 and detects the pattern image of the arm posture and the handgun pattern taken in the shooting posture by the known pattern recognition in the captured image. It is determined that the action (for example, holding a handgun GN to be used by itself) has been performed.

  As a result, the wearable camera 10 can start recording the captured video data when detecting the pattern image of the arm posture and the handgun pattern image taken in the shooting posture in the captured image. It is possible to leave an image of the atmosphere of the tense site as tight as possible as evidence video.

  Second method (see S6A-2 in FIG. 11): The analysis unit 19y recognizes, for example, a marker MK (that is, a specific symbol that can improve the recognition rate) attached to the handgun GN in the captured image. Determines that the police officer 3 has performed a predetermined action (for example, holding a handgun GN to be used by himself). That is, in the second method, the pattern image of the marker MK as the specific symbol is held in the storage unit 15. In this case, when the analysis unit 19y refers to the storage unit 15 and detects the pattern image of the marker MK in the captured image by pattern recognition of a known technique, the police officer 3 selects a predetermined action (for example, a handgun GN used by itself) Judged that he has done something).

  As a result, the wearable camera 10 can start recording the captured image data when detecting the marker MK that is easy to recognize in the image when the handgun GN is held in the shooting position, so that the handgun used by the police officer 3 is used. It is possible to leave an image of the atmosphere of a tense site that is tense enough to hold GN as evidence video.

  Third method (see S6A-3 in FIG. 11): For example, the analysis unit 19y moves the arm of the police officer 3 holding the handgun GN in the captured image from the lower side of the captured image to the shooting position within a certain time. If it is recognized that the police officer 3 has performed, it is determined that the police officer 3 has performed a predetermined action (for example, holding a handgun GN to be used by himself). That is, in the third method, the pattern image of the arm posture (in other words, the arm posture holding the handgun) taken in the shooting posture and the pattern image of the handgun are held in the storage unit 15. In this case, the analysis unit 19y refers to the storage unit 15 and detects the pattern image of the arm posture and the pattern image of the handgun taken in the shooting posture by the known pattern recognition in the captured image, and the arm posture When it is detected that the pattern image has moved from the lower side of the captured image to a predetermined position (for example, upward or center position of the image), the police officer 3 performs a predetermined action (for example, holding a handgun GN used by itself). Judge that it was done.

  As a result, when the wearable camera 10 detects a behavior that tends to lift the arm of the police officer 3 naturally or instantaneously upward when holding the handgun GN in a shooting posture, the wearable camera 10 captures captured video data. Since the video recording can be started, it is possible to leave an image of the atmosphere of the tense site as tight as the police officer 3 holds the handgun GN used by himself / herself as evidence video.

  Note that the first to third methods described above do not use only a single method, and a plurality of methods may be used in appropriate combination. As a result, the wearable camera 10 can detect with high accuracy that the police officer 3 holds the handgun GN used by the police officer 3 by video analysis.

  Further, the first to third methods may be executed in the wearable camera 10, or the captured video data is transmitted from the wearable camera 10 to the back-end server 50, and the back-end server 50 analyzes the video. May be performed. In this case, the back-end server 50 determines whether or not recording (recording) in the wearable camera 10 is automatically started. One example of execution in this case is shown in FIG. FIG. 10 is a sequence diagram illustrating in detail an example of an operation procedure of automatic recording in the wearable camera system 5 of the present modification. In the description of FIG. 10, the same processing as that in FIG. 7 is assigned the same step number, and the description is simplified or omitted, and different contents will be described.

  In FIG. 10, the wearable camera 10 acquires captured video data (S5A). After this, when settings are made for the wearable camera 10 to continuously transmit the captured video data to the back-end server 50, such as during streaming of live video to the back-end server 50 (S31, YES). The wearable camera 10 transmits the captured video data and a determination request for the captured video data to the back-end server 50 (S33).

  On the other hand, when the setting for continuously transmitting the captured video data is not made (S31, NO), the wearable camera 10 determines whether to transmit the captured video data to the back-end server 50. Specifically, the wearable camera 10 is set to transmit at a predetermined time interval, for example, “every 10 seconds” or “every 5 seconds”, or the police officer 3 has a shooting posture. It is determined whether or not the captured image satisfies any one of the fixed time changes (S32).

  The wearable camera 10 is set to periodically transmit at a predetermined time interval (S32, YES), or when there is no change in the captured image for a certain time (S32, YES), particularly in the latter case. For example, if the police officer 3 enters a shooting posture, the captured video data and a determination request for the captured video data are transmitted to the back-end server 50 (S33). Note that in step S32, the wearable camera 10 is not limited to the case where there is no change in the captured image for a certain period of time. Good. The predetermined amount here indicates, for example, a ratio in which the luminance value or the RGB value difference value for each pixel in the immediately preceding frame is equal to or greater than a predetermined value in the entire captured image frame constituting the captured video.

  In addition, when the setting for transmitting at a predetermined time interval is not made (S32, NO), or when the change of the captured image in a certain time is larger than the predetermined amount (S32, NO), the wearable camera 10 The process returns to step S2 (see FIG. 6) or step S5A.

  The back-end server 50 determines the action of the police officer 3 wearing or possessing the wearable camera 10 using the captured video data transmitted in step S33 (S12A). The determination in step 12A depends on, for example, whether or not each process in steps S12A-1, S12A-2, and S12A-3 is executed.

  Specifically, the back-end server 50 analyzes the captured video data to determine whether the captured video data includes a captured image when the police officer 3 holds the handgun GN (S12A). -1). When the back-end server 50 determines that a captured image when the police officer 3 holds the handgun GN is included in the captured video data (S12A-1, YES), the back-end server 50 generates a recording start instruction for the captured video data. (S13). The processing after step S13 is the same as that in FIG.

  On the other hand, if the captured image data does not include the captured image when the police officer 3 holds the handgun (S12A-1, NO), the back-end server 50 analyzes the captured image data to thereby obtain the handgun GN. It is determined whether or not the police officer 3 holds the handgun GN by examining whether or not the detection marker MK attached to the camera is reflected in the captured image (S12A-2). When the back-end server 50 determines that the detection marker MK attached to the handgun GN is reflected in the captured image (S12A-2, YES), the back-end server 50 generates a recording start instruction for the captured image data (S13).

  On the other hand, when the detection marker MK attached to the handgun GN is not reflected in the captured image (S12A-2, NO), the back-end server 50 analyzes the captured image data continuously received. Then, by examining the difference from the past captured video data, it is determined whether or not the police officer 3 has moved the arm holding the handgun GN from below to the shooting position (S12A-3). When the back-end server 50 determines that the police officer 3 has moved the arm holding the handgun GN from below to the shooting position (S12A-3, YES), the back-end server 50 generates a recording start instruction for the captured video data (S13).

  On the other hand, if it is determined that the police officer 3 has not moved the arm holding the handgun GN from below to the shooting position (S12A-3, NO), the back-end server 50 determines whether the police officer A response indicating that S12A-1, S12A-2, and S12A-3 are not performed) is transmitted to the wearable camera 10 (S16). Since the process in wearable camera 10 after step S16 is the same as that in FIG.

  As a result, the wearable camera system 5 can determine whether or not the police officer 3 holds the handgun GN in the back-end server 50, and therefore can determine more accurately than in the case where the wearable camera 10 itself performs, and has a large capacity. Unnecessary recording of captured video data can be suppressed, and originally necessary captured video data can be recorded in the wearable camera 10.

  In addition, an operation procedure for starting automatic recording in the wearable camera 10 using the first to third methods described above will be described with reference to FIG. FIG. 11 is a flowchart illustrating in detail another example of the operation procedure of automatic recording in the wearable camera 10 of the present modification. In the description of FIG. 11, the same processes as those in FIG. 6 or FIG. 9 are given the same step numbers, and the description will be simplified or omitted, and different contents will be described.

  In FIG. 11, the wearable camera 10 acquires the captured image data of the incident site imaged by the imaging unit 11 even when it is not determined that the gunshot of the handgun GN is detected (S4, NO) (S5A). The wearable camera 10 determines the behavior of the police officer 3 wearing or possessing the wearable camera 10 in the analysis unit 19y using the captured video data acquired in step S5A (S6A). The determination in step S6A depends on, for example, whether or not each process in steps S6A-1, S6A-2, and S6A-3 is executed.

  Specifically, the wearable camera 10 analyzes the captured video data to determine whether the captured video data includes a captured image when the police officer 3 holds the handgun GN (S6A-). 1). When the wearable camera 10 determines that the captured image data includes a captured image when the police officer 3 holds the handgun GN (S6A-1, YES), the wearable camera 10 stores the captured image data acquired in step S5A. Recording to the unit 15 (that is, recording) is started (S7).

  On the other hand, if the captured image data does not include the captured image when the police officer 3 holds the handgun (S6A-1, NO), the wearable camera 10 analyzes the captured image data to change the handgun GN. It is determined whether or not the police officer 3 holds the handgun GN by checking whether or not the attached detection marker MK is reflected in the captured image (S6A-2). When the wearable camera 10 determines that the detection marker MK attached to the handgun GN is reflected in the captured image (S6A-2, YES), the wearable camera 10 stores the captured image data acquired in step S5A into the storage unit 15. Recording (that is, video recording) is started (S7).

  On the other hand, when the detection marker MK attached to the handgun GN is not reflected in the captured image (S6A-2, NO), the wearable camera 10 analyzes the captured image data captured continuously, By examining the difference with the past captured video data, it is determined whether or not the police officer 3 has moved the arm holding the handgun GN from below to the shooting position (S6A-3). The wearable camera 10 determines that the police officer 3 has moved the arm holding the handgun GN from below to the shooting position (S6A-3, YES), the captured video data acquired in step S5A to the storage unit 15 Recording (that is, video recording) is started (S7).

  On the other hand, when it is determined that the police officer 3 has not moved the arm holding the handgun GN from below to the shooting position (S6A-3, NO), the process of the wearable camera 10 returns to step S2.

  As a result, the wearable camera 10 uses the captured image data captured by the imaging unit 11 without using acceleration data, for example, to determine a predetermined action of the police officer 3 (for example, the handgun GN used by the police officer 3 itself). The wearable camera 10 itself can determine whether or not it is ready, and the exchange with the suspicious person (for example, a suspect who is running away from the incident) against the police officer 3 can be left as a video.

(Second Embodiment)
In the second embodiment, as an example of an external sensor that is attached to a part of a user's body and acquires information on the amount of activity of the user, an example of starting recording of the wearable camera 10 using measurement information obtained by an activity meter Indicates. As information on the amount of activity of the user acquired by the external sensor, information related to the movement of the user, biological information represented by heart rate, and the like are used.

  FIG. 12A is a diagram showing an overview of a first example of a wearable camera system including a wearable camera and an activity meter, and FIG. 12A is an overview of a second example of the wearable camera system including a wearable camera, an activity meter, and a smartphone. FIG.

  The wearable camera system 5A of the first example is configured to include a wearable camera 10A and an activity meter 200. The wearable camera 10A has the same configuration as that of the wearable camera 10 according to the first embodiment shown in FIG. Hereinafter, functions different from those of the first embodiment will be described. The activity meter 200 includes a sensor that acquires various types of information (activity amount information) related to human activities such as the movement of a police officer who is a user, heart rate, sweating, and body temperature. The activity meter 200 is mounted on a user's wrist, for example, and measures the activity amount. Details of the activity meter 200 will be described later. Wearable camera 10 </ b> A and activity meter 200 communicate with each other, and exchange information acquired by activity meter 200. The communication between the wearable camera 10A and the activity meter 200 may use, for example, BLE communication.

  The wearable camera system 5B of the second example is configured to include a wearable camera 10B, an activity meter 200, and a smartphone 40A as an example of a communication terminal. The wearable camera 10B differs in some functions from the wearable camera 10A of the first example. The smartphone 40A can communicate with the wearable camera 10B and the activity meter 200, and the wearable camera 10B and the activity meter 200 communicate with each other via the smartphone 40A and exchange information acquired by the activity meter 200. To do. Communication between the wearable camera 10A and the smartphone 40A, and between the smartphone 40A and the activity meter 200 may use, for example, BLE communication.

  FIG. 13 is a block diagram illustrating an example of the internal configuration of the activity meter 200. The activity meter 200 includes a calculation unit 201, a storage unit 202, a display unit 203, a power supply unit 204, a communication unit 205, an antenna 206, and a vibrator 207. The activity meter 200 includes a gyro sensor 211, an acceleration sensor 212, a heart rate sensor 213, a sweat sensor 214, and a temperature sensor 215 as an example of a sensor that measures the amount of activity of the user. The activity meter 200 may include at least one of the sensors. The activity meter 200 includes an operation switch 221, a communication switch 222, and a reset switch 223.

  The calculation unit 201 includes a processing device such as a microprocessor, for example, and calculates a measurement value from an output signal indicating a predetermined physical quantity output from the sensor. The calculation unit 201 calculates an amount of activity such as a prescribed action by the user, heart rate, sweating, body temperature, and the like based on the measurement value acquired from the sensor. The storage unit 202 is configured by a semiconductor memory such as a flash ROM, for example, and stores a program for operating the arithmetic unit 201, acquired data of measurement values and activity amounts, and the like. The display unit 203 includes a display device such as an LED or an LCD, for example, and displays the operation state of the activity meter 200, the acquired activity amount, and the like by turning on / off light, characters, images, and the like. The power supply unit 204 is configured by a rechargeable secondary battery, for example, and supplies power to each unit of the activity meter 200.

  The communication unit 205 includes a communication circuit that performs wireless communication such as BLE communication, for example, and communicates information regarding the amount of activity between the wearable camera 10A or between the wearable camera 10B and the smartphone 40A. The antenna 206 transmits and receives radio signals during communication by the communication unit 205. The vibrator 207 vibrates at a predetermined timing based on an instruction from the calculation unit 201 and notifies the user.

  The gyro sensor 211 detects the angular velocity of the activity meter 200. The acceleration sensor 212 detects the acceleration in the triaxial direction of the orthogonal coordinate system of the activity meter 200. The computing unit 201 calculates activity amount information related to the operation of the user wearing the activity meter 200 based on the outputs of the gyro sensor 211 and the acceleration sensor 212. The heart rate sensor 213 includes, for example, a light emitting element and a light receiving element. The heart rate sensor 213 emits light to a blood vessel in the human body, receives the reflected light, and detects the pulse from the variation in the amount of received light. The heart rate of the user wearing the is measured. The calculation unit 201 calculates activity amount information related to the heart rate based on the output of the heart rate sensor 213. The sweat sensor 214 detects the sweat of the user wearing the activity meter 200 based on, for example, the humidity near the skin. Based on the output of the perspiration sensor 214, the calculation unit 201 calculates information on the amount of activity related to perspiration such as the presence or absence of perspiration and the amount of perspiration. The temperature sensor 215 measures the temperature of the user wearing the activity meter 200. Based on the output of the temperature sensor 215, the calculation unit 201 calculates information on the amount of activity related to body temperature such as an increase in body temperature.

  The operation switch 221 is a push button switch for inputting an operation instruction such as switching the display content of the activity meter 200 and switching the operation mode. The communication switch 222 is a push button switch for inputting a communication instruction such as communication start or communication stop of the activity meter 200, for example. The reset switch 223 is a push button switch for inputting a reset instruction to reset the activity amount measured by the activity meter 200 or various settings of the activity meter 200, for example.

  Next, a procedure for starting automatic recording in the wearable camera system of the first example of the second embodiment will be described with reference to FIG. FIG. 14 is a sequence diagram illustrating in detail an example of an operation procedure of automatic recording in the wearable camera system of the first example of the second embodiment. In FIG. 14, the wearable camera 10A is represented as BWC. This example shows an operation example in which recording is started without waiting for the user's confirmation when the wearable camera 10A and the activity meter 200 detect the occurrence of a predetermined event to start recording. In this example, the MCU 19 provided in the wearable camera 10A functions as an example of a determination unit and a recording control unit.

  In FIG. 14, the wearable camera 10A transmits an activity amount information request to the activity meter 200 (S111). When the activity meter 200 receives the information request from the wearable camera 10A, the activity meter 200 transmits an activity amount information response to the wearable camera 10A (S112). Wearable camera 10A receives information on the amount of activity from activity meter 200, and determines the occurrence of a prescribed event to start recording (S113).

  Detection conditions of event occurrence based on the amount of activity, detection of prescribed actions such as the action of the user (police officer) running, the action of taking out the handgun from the holster, the action of falling, etc. May be used. The action of taking out the handgun has a characteristic action such as an action in which the user's arm draws an arc, and therefore can be appropriately detected by the outputs of the gyro sensor 211 and the acceleration sensor 212. For example, when the activity meter 200 is worn on the user's arm, it is possible to accurately detect a prescribed operation such as an operation of taking out a handgun. Note that the occurrence of an event related to a user action may be detected using the outputs of the gyro sensor GY and the acceleration sensor AC provided in the wearable camera 10A. As another event generation determination condition, detection of an increase or stop of the user's heart rate based on the output of the heart rate sensor 213 may be used. The increase in heart rate is highly related to the situation where the user (police officer) is in a shooting position with a handgun, started running, is in a state of tension, etc. The stop of the heart rate is assumed to be a situation where the user died. As another event occurrence determination condition, detection of the user's sweating based on the output of the sweating sensor 214 may be used. Sweating often occurs when the user is in a tense state, such as having entered a shooting position, or when the amount of activity of the user has increased. As another condition for determining the occurrence of an event, detection of an increase in the body temperature of the user based on the output of the temperature sensor 215 may be used. The increase in body temperature is assumed to be a situation where the amount of activity of the user has increased.

  When wearable camera 10A does not determine that an event has occurred (S113, NO), it again transmits an activity amount information request to activity meter 200. At this time, wearable camera 10A repeatedly transmits an information request until an event occurrence is determined at a predetermined timing such as every predetermined period. Wearable camera 10A transmits a vibration request to activity meter 200 when it is determined that an event has occurred (S113, YES) (S114). When the activity meter 200 receives the vibration request from the wearable camera 10A, the activity meter 200 transmits an ACK (ACKnowledgement) response to the wearable camera 10A (S115), and activates the vibrator 207 to vibrate the housing (S116). Wearable camera 10A operates vibrator 27 of its own device to vibrate the housing (S117). Through the vibration of the activity meter 200 and the vibration of the wearable camera 10A, the user can recognize that a predetermined event occurrence based on the activity amount has been detected.

  The wearable camera 10A outputs a predetermined confirmation sound such as “recording will start” (S118). At this time, the wearable camera 10A outputs a sound signal of the confirmation sound by the sound output unit 28, and outputs sound from the speaker 29B. Note that the event detection notification to the user may be either notification by vibration or notification by confirmation sound, or may be notified by causing an LED to emit light.

  Subsequently, the wearable camera 10A starts recording the captured video data (S119). At this time, the wearable camera 10 </ b> A starts imaging in the imaging unit 11 with the front of the police officer as a subject as a subject, and stores captured image data in the storage unit 15. Thereby, based on the activity amount acquired by the activity meter 200, the wearable camera 10A starts to chase or start chasing the suspect who is running away from the incident, for example, and holds the handgun toward the suspect. For example, the recording can be started automatically, so that an image of a tense atmosphere as if the suspect was witnessed can be left as evidence video.

  Further, when the wearable camera 10A inputs a stop instruction by the user's operation of the recording switch SW1 (S120), the wearable camera 10A stops recording the captured video data (S121).

  Next, another example of the automatic recording start procedure in the wearable camera system of the first example will be described with reference to FIG. FIG. 15 is a flowchart for explaining in detail another example of the operation procedure of automatic recording in the wearable camera system of the first example of the second embodiment. FIG. 15 mainly shows the operation of the wearable camera 10A. This example shows an operation example in which recording is started after waiting for the user's confirmation when the wearable camera 10A and the activity meter 200 detect occurrence of a predetermined event to start recording.

  In FIG. 15, wearable camera 10 </ b> A determines whether recording is in progress (that is, while the captured video data is being stored in storage unit 15) (S <b> 131), and if recording is not in progress (S <b> 131, NO), Activity amount information is acquired from the activity amount meter 200 (S132). Then, wearable camera 10A determines the occurrence of a prescribed event to start recording (S133). The conditions for determining the occurrence of an event based on the amount of activity may be the same as the example shown in FIG.

  Wearable camera 10A determines whether or not an event has occurred (S134), and if it does not determine that an event has occurred (S134, NO), again acquires information on the amount of activity from activity meter 200. At this time, wearable camera 10 </ b> A repeatedly acquires information until an event occurrence is determined at a predetermined timing such as every predetermined period. When the wearable camera 10A determines that an event has occurred (S134, YES), the wearable camera 10A notifies the user that an event has been detected (that is, the occurrence of a prescribed event has been detected) (S135). As an event detection notification, wearable camera 10A may use a vibrator in its own device to vibrate the housing, cause LED to emit light, or send vibration request to activity meter 200 to vibrate.

  Wearable camera 10A outputs a predetermined confirmation sound such as “recording event detected. Do you want to start recording?” (S136). At this time, the wearable camera 10A outputs a sound signal of the confirmation sound by the sound output unit 28, and outputs sound from the speaker 29B. Wearable camera 10A also starts a timer provided in MCU 19, for example (S137), and measures a predetermined time until the start of recording. It is preferable that the event detection notification in S135, the confirmation voice output in S136, and the timer start processing in S137 are executed almost simultaneously.

  Wearable camera 10 </ b> A constantly pre-buffers and updates video data of a predetermined time captured by imaging unit 11 in storage unit 15 when the power is on. That is, the wearable camera 10A continues to store the video data immediately before the predetermined time before the current time. The pre-buffering time of this predetermined time is, for example, 2 minutes, and the timer time counted when an event occurs is shorter than the pre-buffering time, for example, 10 seconds. Wearable camera 10A determines whether or not there is an instruction to stop recording during the timer period while pre-buffering is being executed, and stops recording due to the occurrence of an event when there is an instruction to stop recording.

  The wearable camera 10A determines whether the time is up due to the end of the timer time after the timer start in S137 (S138), and when the time is up, starts recording the captured video data (S139). At this time, the wearable camera 10 </ b> A starts imaging in the imaging unit 11 with the front of the police officer as a subject as a subject, and stores captured image data in the storage unit 15. As a result, the wearable camera 10A can automatically start recording when a prescribed event based on the activity amount acquired by the activity meter 200 occurs. It can be left as a picture.

  Further, the wearable camera 10A determines whether or not an operation of a recording stop button (that is, an instruction to stop recording) is performed by the user pressing the recording switch SW1 before the time is up in the determination of S138 (S140). When an instruction to stop the recording is given, the recording of the captured video data is stopped (S141). As a result, the user's running motion in a situation unrelated to the incident, activity detection in the event that the user does not intend, such as detection of an event occurrence such as an increase in heart rate or sweating due to other factors, or an erroneous detection of event occurrence When an event occurrence based on the amount information is detected, the recording operation can be stopped by a user instruction. Note that the recording stop instruction by the user was recorded by using the microphone 29A to pick up the stop instruction (such as “No Record”) uttered by the user, and the MCU 19 recognized the voice. You may judge that.

  Further, the wearable camera 10A determines whether or not the user has operated the recording start button (that is, an instruction to start recording) by pressing the recording switch SW1 before the time is up in the determination in S138 (S142). When an instruction to start recording is given, recording of the captured video data is started (S143). As a result, when an event occurrence based on the activity amount information is detected, the recording operation can be started immediately by a user instruction.

  In the wearable camera system 5A of the first example of the present embodiment, the wearable camera 10A images a subject in front of a police officer 3 as an example of a user. In addition, the activity meter 200 acquires information on the activity amount of the police officer 3 and transmits it to the wearable camera 10A. The wearable camera 10A receives and acquires information on the amount of activity from the activity meter 200, and based on the acquired information on the amount of activity of the police officer 3, whether or not a predetermined event to start recording has occurred. If it is determined that a predetermined event has occurred, recording of the captured image data is started.

  As a result, the wearable camera 10A can be used even if the police officer 3 does not manually operate to start recording in an urgent situation where the police officer 3 is chasing a suspect who is running away from the incident. Recording of video captured by 10A can be started and omission of recording can be reduced. Therefore, the wearable camera 10A can efficiently support the operations of the police officer 3.

  The wearable camera 10A has, as predetermined events, an action that the police officer 3 wearing the activity meter 200 starts running, an action taking a shooting posture using a handgun possessed by the police officer 3, and a heart rate of the police officer 3 Or at least one of the increase in body temperature of the police officer 3 and the increase in body temperature of the police officer 3. As a result, the wearable camera 10A can automatically start recording in a situation where the amount of activity has increased, for example, when it begins to chase or start chasing the suspect who is running away from the incident, so he witnessed the suspect. The image of the atmosphere of such a tense site can be left as evidence video.

  Wearable camera 10 </ b> A stops the recording of the captured image data when it determines an instruction to stop recording by police officer 3. As a result, the recording operation can be stopped when the occurrence of an event based on the activity amount information is detected in a situation not intended by the police officer 3.

  Next, a procedure for starting automatic recording in the wearable camera system of the second example of the second embodiment will be described with reference to FIG. FIG. 16 is a sequence diagram illustrating in detail an example of an operation procedure of automatic recording in the wearable camera system of the second example of the second embodiment. In FIG. 16, the wearable camera 10B is denoted as BWC. This example shows an operation example in which recording is started by the wearable camera 10 </ b> B when the smartphone 40 </ b> A and the activity meter 200 detect the occurrence of a prescribed event to start recording.

  In FIG. 16, the smartphone 40A transmits an activity amount information request to the activity meter 200 (S151). When the activity meter 200 receives the information request from the smartphone 40A, the activity meter 200 transmits an activity information response to the smartphone 40A (S152). The smartphone 40A receives the activity amount information from the activity meter 200, and determines the occurrence of a prescribed event to start recording (S153). The conditions for determining the occurrence of an event based on the amount of activity may be the same as the example shown in FIG.

  If the smartphone 40A does not determine that an event has occurred (S153, NO), the smartphone 40A transmits the activity amount information request to the activity meter 200 again. At this time, the smartphone 40 </ b> A repeatedly transmits an information request until an event occurrence is determined at a predetermined timing such as every predetermined period. When it is determined that an event has occurred (S153, YES), the smartphone 40A transmits a vibration request to the wearable camera 10B (S154). When receiving the vibration request from the smartphone 40A, the wearable camera 10B transmits an ACK response to the smartphone 40A (S155), and operates the vibrator 27 to vibrate the housing (S156). In addition, the smartphone 40A transmits a vibration request to the activity meter 200 (S157). When the activity meter 200 receives the vibration request from the smartphone 40A, the activity meter 200 transmits an ACK response to the smartphone 40A (S158), and activates the vibrator 207 to vibrate the housing (S159). Through the vibration of the activity meter 200 and the vibration of the wearable camera 10B, the user can recognize that a predetermined event occurrence based on the activity amount has been detected.

  In addition, the smartphone 40A outputs a predetermined confirmation voice such as “recording starts” (S160). Note that the smartphone 40 </ b> A may notify the user by displaying “recording start” or the like on the display unit. Further, the smartphone 40A determines that there is no recording operation stop condition such as a recording stop instruction by the user (no recording stop) (S161). This determination of no recording stop can be realized by the same processing as the processing of S137 to S143 in the wearable camera 10A of the example shown in FIG. That is, the smartphone 40A determines the presence / absence of a recording stop instruction by the user during a predetermined period after the occurrence of the event is detected, and determines that there is no recording stop when there is no recording stop instruction.

  When the smartphone 40A determines that there is no recording stop, the smartphone 40A transmits a recording start request to the wearable camera 10B (S162). When the wearable camera 10B receives the recording start request from the smartphone 40A, the wearable camera 10B transmits an ACK response to the smartphone 40A (S163), and starts recording the captured video data (S164). Thereby, using the activity amount acquired by the activity meter 200, the smartphone 40A determines the occurrence of a prescribed event based on the activity amount, and the wearable camera 10B can automatically start recording when the event occurs. For example, it is possible to leave an image of a tense atmosphere at the time of the incident as evidence video.

  Similarly to the example shown in FIG. 14, when the wearable camera 10B inputs a recording stop instruction by the user's operation of the recording switch SW1 (S165), the wearable camera 10B stops recording the captured video data (S166). Recording stop operation may be performed. In this case, when the occurrence of an event is detected in a situation that is not intended by the user and the recording is not necessary, the user can stop the recording operation by operating the wearable camera 10B. For example, when the smartphone 40A is in a place where it is difficult to take out such as the back of the pocket of clothes of the police officer 3 and the operation is difficult, the wearable camera 10B can instruct to stop recording in response to notification of event detection by vibration. In addition, the recording operation can be stopped by a user operation.

  In the wearable camera system 5B of the second example of the present embodiment, the wearable camera 10B images the subject in front of the police officer 3 as an example of the user. In addition, the activity meter 200 acquires information on the activity amount of the police officer 3 and transmits it to the smartphone 40A as an example of a communication terminal. Further, in the smartphone 40A, it is determined whether or not a predetermined event that should start recording has occurred based on the acquired information on the amount of activity of the police officer 3, and when it is determined that a predetermined event has occurred, A recording start instruction for instructing recording start of the video data is transmitted to the wearable camera 10B. The wearable camera 10B receives the recording start instruction transmitted from the smartphone 40A, and starts recording the captured video data according to the received recording start instruction. Wearable camera 10 </ b> B stops the recording of the captured image data when it determines an instruction to stop recording by police officer 3.

  As a result, the wearable camera 10B can be used even if the police officer 3 does not manually operate to start recording in a tense situation such as the police officer 3 chasing a suspect who is running away from the incident. Recording of video captured by 10B can be started and omission of recording can be reduced. Further, the recording operation can be stopped when an event occurrence based on the activity amount information is detected in a situation not intended by the police officer 3.

  While various embodiments have been described above with reference to the drawings, it goes without saying that the present invention is not limited to such examples. It will be apparent to those skilled in the art that various changes and modifications can be made within the scope of the claims, and these are naturally within the technical scope of the present invention. Understood. In addition, the constituent elements in the above embodiment may be arbitrarily combined without departing from the spirit of the invention.

  The present invention relates to a wearable camera system that starts recording of a video imaged by a wearable camera and reduces omissions of recording without effectively performing a recording operation by the user, and efficiently supports the user's work. This is useful as a recording control method.

3 Police officer 4 Police station 5, 5A, 5B Wearable camera system 8 In-station system 10, 10A, 10B Wearable camera (BWC)
10z housing 11 imaging unit 11z imaging lens 12 GPIO
13 RAM
14 ROM
15 storage unit 16 EEPROM
17 RTC
18 GPS receiver 19 MCU
21A BLE communication unit 21B WLAN communication unit 22 USB interface (USB I / F)
23 Contact terminal 24 Power supply unit 25 Battery 26a, 26b, 26c LED
27 Vibrator 28 Audio output unit 29A Microphone 29B Speaker 29C Earphone terminal 30 In-vehicle camera system 31 In-vehicle camera 32 In-vehicle PC
33 In-vehicle recorder 40, 40A Smartphone 45, 63P Wireless LAN access point 50 Back-end server (BES)
51 CPU
52 I / O Control Unit 53 Communication Unit 54 Memory 55 Input Unit 56 Display Unit 57 Storage Control Unit 58 Storage 59 Speaker 65 Back-end Streaming Server (BSS)
70 Backend client (BEC)
90 Command system 200 Activity meter AC Acceleration sensor GY Gyro sensor SW1 Recording switch SW2 Snapshot switch SW3 Communication mode switch SW4 Attribute information addition switch

Claims (17)

A wearable camera that can be worn or possessed by a user,
An imaging unit for imaging a subject in front of the user;
A sensor unit for acquiring information on the movement of the user;
A determination unit that determines whether or not a predetermined action has been performed by the user based on information on the movement of the user acquired by the sensor unit;
A recording control unit that starts recording the captured video of the subject imaged by the imaging unit when the determination unit determines that a predetermined action has been performed by the user;
Wearable camera.   The wearable camera according to claim 1, wherein the determination unit determines whether the user has started running as the predetermined action.   The wearable camera according to claim 1, wherein the determination unit determines whether the user has taken a shooting posture using a handgun possessed by the user as the predetermined action.   The wearable camera according to claim 1, wherein the determination unit determines whether the user has fallen to the ground or the like as the predetermined action. A microphone for picking up sound;
The wearable camera according to any one of claims 1 to 4, wherein the determination unit determines whether the sound collected by the microphone is a gunshot of a handgun. An analysis unit that analyzes a captured image of the subject imaged by the imaging unit;
The recording control unit starts recording the captured image of the subject imaged by the imaging unit when the analysis unit determines that the user holds a handgun possessed by the user. The wearable camera according to any one of 5.   7. The analysis unit according to claim 6, wherein the analysis unit determines that the user has a handgun possessed by the user when detecting a handgun possessed by the user and an arm gripping the handgun in the captured image of the subject. The wearable camera described.   The analysis unit according to claim 6, wherein the analysis unit determines that the user has a handgun possessed by the user when detecting a marker provided in advance to the handgun possessed by the user in the captured image of the subject. Wearable camera.   The analysis unit determines that the user holds the handgun possessed by the user when detecting that the arm holding the handgun possessed by the user has moved to a predetermined shooting position in the captured image of the subject. The wearable camera according to claim 6. A wearable camera system in which a wearable camera that can be worn or possessed by a user and a server are communicably connected,
The wearable camera is
Image the subject in front of the user,
Obtaining information about the user's movement,
Sending the acquired information about the movement of the user to the server;
The server
Receiving information on the movement of the user transmitted from the wearable camera;
Based on the received information on the user's movement, it is determined whether a predetermined action has been performed by the user,
When it is determined that a predetermined action has been performed by the user, an instruction to start recording the captured image of the subject is transmitted to the wearable camera,
The wearable camera is
Receiving the recording start instruction transmitted from the server;
In response to the received recording start instruction, start recording the captured video of the subject.
Wearable camera system. A recording control method in a wearable camera that can be worn or possessed by a user,
Image the subject in front of the user,
Obtaining information about the user's movement,
Based on the acquired information on the movement of the user, it is determined whether a predetermined action has been performed by the user,
When it is determined that a predetermined action has been performed by the user, recording of a captured image of the captured subject is started.
Recording control method. A wearable camera that can be worn or possessed by a user,
An imaging unit for imaging a subject in front of the user;
A communication unit that communicates with an external sensor that acquires information on the amount of activity of the user;
A determination unit that determines whether a predetermined event has occurred based on information on the amount of activity of the user received from the external sensor by the communication unit;
A recording control unit that starts recording the captured video of the subject imaged by the imaging unit when the determination unit determines that the predetermined event has occurred,
Wearable camera.   The wearable camera according to claim 12, wherein the external sensor is an activity meter that acquires information on an activity amount of the user.   The determination unit includes, as the predetermined event, an action that the user has started running, an action in which the user takes a shooting posture using a handgun possessed by the user, an increase in the user's heart rate, a sweating of the user, The wearable camera according to claim 12, wherein at least one of the temperature rises of the user is determined.   The wearable camera according to claim 12, wherein the recording control unit stops recording the captured video of the subject when it is determined to stop recording according to an instruction from the user. A wearable camera system in which a wearable camera that can be worn or possessed by a user and an external sensor that acquires the amount of activity of the user are communicably connected,
The wearable camera is
Image the subject in front of the user,
The external sensor is
Obtaining information on the amount of activity of the user;
Send the acquired information on the amount of activity of the user to the wearable camera,
The wearable camera is
Receiving information on the amount of activity of the user transmitted from the external sensor;
Based on the received information about the amount of activity of the user, it is determined whether a predetermined event has occurred,
When it is determined that the predetermined event has occurred, recording of the captured video of the subject is started.
Wearable camera system. A wearable camera in a wearable camera system in which a wearable camera that can be worn or possessed by a user, an external sensor that acquires the amount of activity of the user, and a communication terminal are communicably connected,
The external sensor acquires information on the activity amount of the user, transmits the acquired information on the activity amount of the user to the communication terminal,
The communication terminal receives information on the activity amount of the user transmitted from the external sensor, and determines whether a predetermined event has occurred based on the received information on the activity amount of the user, When it is determined that the predetermined event has occurred, an instruction to start recording a captured image of the subject is transmitted to the wearable camera,
The wearable camera is
Image the subject in front of the user,
Receiving the recording start instruction transmitted from the communication terminal;
In response to the received recording start instruction, start recording the captured video of the subject,
When it is determined to stop recording by the user's instruction, the recording of the captured video of the subject is stopped.
Wearable camera.

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