JP7367556B2 - Recording control device, recording control method, and program - Google Patents

Description

The present invention relates to a recording control device, a recording control method, and a program.

There are drive recorders that have a parking monitoring function. For example, Patent Document 1 discloses a technique for determining whether or not to perform parking monitoring based on position information registered in advance.

JP 2017-195755 Publication

Events recorded by the parking monitoring function of a drive recorder include not only collisions and collisions with other vehicles, but also vehicle break-ins. Therefore, in the parking monitoring function, in addition to event detection using an acceleration sensor, event detection is also performed using moving object detection. In this case, in addition to collisions and collisions with other vehicles, it is possible to record images of events near the time of event occurrence, such as car break-ins. However, when a car is broken into, a preliminary inspection is sometimes performed, and by recording footage of a period in which the preliminary inspection may be taking place before the event occurs, it becomes useful to understand the situation regarding the event.

The present invention provides a recording control device, a recording control method, and a program that can appropriately perform parking monitoring.

A recording control device according to one aspect of the present invention includes: a photographic data acquisition section that acquires photographic data photographed by a photographing section that photographs the surroundings of a vehicle; a parking detecting section that detects that the vehicle is parked; a moving object detection section that detects a moving object from video data constituting the photographic data acquired by the photographic data acquisition section while the vehicle is parked; and an event that detects a first event for the vehicle based on the detection result of the moving object detection section. When the detection unit, the surrounding situation judgment unit that judges the surrounding situation of the vehicle, and the event detection unit detect a first event for the vehicle, the time of the photographed data is determined based on the judgment result of the surrounding situation judgment unit. and a recording control unit that changes and saves the length.

A recording control method according to one aspect of the present invention includes: a photographic data acquisition step of acquiring photographic data photographed by a photographing unit that photographs the surroundings of a vehicle; a parking detection step of detecting that the vehicle is parked; a moving object detection step of detecting a moving object from video data constituting photographic data acquired while the vehicle is parked; an event detection step of detecting a first event for the vehicle based on a detection result in the moving object detection step; a surrounding situation judgment step for judging the surrounding situation of the vehicle; and when a first event for the vehicle is detected in the event detection step, the time length of the photographed data is changed and saved based on the judgment result in the surrounding situation judgment step. The recording control device executes the recording control step of:

A program according to one aspect of the present invention includes a photographic data acquisition step of acquiring photographic data photographed by a photographing unit that photographs the surroundings of a vehicle, and a photographing data acquisition step of acquiring photographic data photographed by a photographing unit that photographs the surroundings of a vehicle, and a computer that operates as a recording control device. a parking detection step for detecting a moving object; a moving object detection step for detecting a moving object from video data constituting photographic data acquired while the vehicle is parked; and a first event for the vehicle based on the detection result in the moving object detection step. an event detection step; a surrounding situation judgment step for judging the surrounding situation of the vehicle; and when a first event for the vehicle is detected in the event detection step, based on the judgment result in the surrounding situation judgment step, the shooting data is A recording control step of changing and saving the time length is executed.

According to the present invention, parking monitoring can be appropriately performed.

FIG. 1 is a block diagram showing an example of the configuration of a recording apparatus according to the first embodiment. FIG. 2 is a flowchart showing an example of the processing flow of the recording control device according to the first embodiment. FIG. 3 is a diagram for explaining an example of a method for saving event record data for a normal period according to the first embodiment. FIG. 4 is a diagram for explaining an example of a method for storing event record data for a period longer than the normal period according to the first embodiment. FIG. 5 is a block diagram showing an example of the configuration of a recording device according to the second embodiment. FIG. 6 is a flowchart showing an example of the processing flow of the recording control device according to the second embodiment. FIG. 7 is a flowchart illustrating an example of the flow of processing for changing the storage of event record data.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the present invention is not limited to this embodiment, and if there are multiple embodiments, the present invention may be configured by combining each embodiment. Further, in the following embodiments, the same parts are given the same reference numerals and redundant explanations will be omitted.

[First embodiment]
The configuration of the recording apparatus according to the first embodiment will be explained using FIG. 1. FIG. 1 is a block diagram showing an example of the configuration of a recording device according to each embodiment.

As shown in FIG. 1, the recording device 1 includes an imaging section 10, a recording section 20, an operation section 30, a display section 40, a sensor 50, a GNSS (Global Navigation Satellite System) signal receiving section 60, and a CAN (Controller Area Network) interface section 70 and a control section (recording control device) 100. Recording device 1 is used in a vehicle. The recording device 1 detects, as an event, an impact caused by contact or collision with another vehicle, etc., and stores photographic data including the time point at which the event occurs as event record data. The recording device 1 detects events such as vehicle break-ins based on moving object detection results and person detection results while the vehicle is stopped, and stores photographic data including the time point at which the event occurs as event record data.

The imaging unit 10 photographs the surroundings of the vehicle. The imaging unit 10, for example, images the surroundings of the vehicle. The imaging unit 10 may include, for example, a front camera disposed facing forward in the vehicle interior, and a rear camera disposed facing rearward. The imaging unit 10 may be configured with, for example, an all-around camera placed inside the vehicle. The imaging unit 10 may be configured with overhead camera cameras disposed outside the vehicle interior at the front, rear, left, and right sides. The imaging unit 10 may be configured with a combination of a front camera, a rear camera, an all-around camera, and an overhead camera. The imaging section 10 outputs photographic data obtained by photographing the surroundings of the vehicle to the photographic data acquisition section 120 of the control section 100. The imaging data captured by the imaging unit 10 may be only video data, or may include audio data in the video data.

The recording unit 20 records various data. The recording unit 20 records, for example, loop recording data in which photographic data is converted into a file. For example, the recording unit 20 records event recording data that is recorded when an event is detected. The recording unit 20 records, for example, loop recording data before and after an event is detected as recording data that is prohibited from being overwritten. The recording unit 20 stores, for example, dictionary data for determining a person. The recording unit 20 can be realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or a solid state drive. The recording unit 20 may be configured with a plurality of different memories.

The operation unit 30 accepts various operations on the recording device 1. The various operations include operations such as starting playback of event record data and the like, and starting saving event record data. The operation unit 30 outputs an operation signal according to the received operation to the operation control unit 126. The operation unit 30 can be realized by, for example, a physical switch or a touch panel provided on the display unit 40.

The display unit 40 displays various images. The display unit 40 displays, for example, an image of event record data recorded by the recording unit 20. The display unit 40 is a display including, for example, a liquid crystal display (LCD) or an organic electro-luminescence (EL) display.

The sensor 50 is, for example, an acceleration sensor that detects acceleration. The sensor 50 detects, for example, acceleration applied to the vehicle during parking. The sensor 50 can be realized by, for example, a three-axis acceleration sensor. The sensor 50 outputs acceleration information regarding the detected acceleration to the event detection unit 128.

The GNSS signal receiving unit 60 is composed of a GNSS receiver that receives GNSS signals from GNSS satellites. The GNSS signal reception section 60 outputs the received GNSS signal to the position information acquisition section 129.

The CAN interface unit 70 is an interface for acquiring various vehicle information via CAN. The vehicle information includes, for example, information regarding the speed of the vehicle, information on the selected gear, and the like. The CAN interface section 70 outputs the acquired vehicle information to the parking detection section 130.

The control unit 100 executes a program (for example, a program according to the present invention) stored in a storage unit (not shown) by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) using a RAM or the like as a work area. This is achieved by Further, the control unit 100 is a controller, and may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control section 100 includes a photographic data acquisition section 120, a buffer memory 121, a photographic data processing section 122, a recording control section 123, a playback control section 124, a person recognition processing section 125, an operation control section 126, and a display. It includes a control section 127, an event detection section 128, a position information acquisition section 129, a parking detection section 130, a moving object detection section 131, and a surrounding situation determination section 132. In FIG. 1, each unit implemented in the control unit 100 is described as being connected to each other via a bus 110 for ease of understanding.

The photographic data acquisition unit 120 acquires various photographic data from the outside. The photographic data acquisition unit 120 acquires photographic data of the surroundings of the vehicle from the imaging unit 10, for example. The photographic data acquisition section 120 outputs the acquired photographic data to the buffer memory 121, the display control section 127, and the like. In addition to the photographic data, the photographic data acquisition section 120 may acquire photographic data that includes audio data acquired by a microphone (not shown) disposed at the imaging section 10 or at another position.

The buffer memory 121 is an internal memory that temporarily stores the photographic data acquired by the photographic data acquisition section 120. Specifically, the buffer memory 121 temporarily stores, while updating, the photographic data for a certain period of time acquired by the photographic data acquisition unit 120.

The photographic data processing unit 122 executes various processes on the photographic data temporarily stored in the buffer memory 121. The photographic data processing unit 122 converts the photographic data temporarily stored in the buffer memory 121 into an arbitrary file format such as the MP4 format. For example, the photographic data processing unit 122 generates photographic data as a data file for a certain period of time from the photographic data temporarily stored in the buffer memory 121. Specifically, the photographic data processing unit 122 generates 60 seconds of photographic data as a data file from the photographic data temporarily stored in the buffer memory 121. The photographic data processing section 122 outputs the generated photographic data to the recording control section 123. Furthermore, the photographic data processing section 122 outputs the generated photographic data to the display control section 127. The period of photographic data generated as a data file is set to 60 seconds as an example, but is not limited to this.

The recording control unit 123 stores various data in the recording unit 20. The recording control unit 123 controls, for example, to cause the recording unit 20 to record the photographic data filed by the photographic data processing unit 122 as loop recording data. For example, when the event detection unit 128 detects an event, the recording control unit 123 stores photographic data including the time point at which the event was detected in the recording unit 20 as event record data. The recording control unit 123 changes the time length of the photographic data of the event detected based on the acceleration and the photographic data of the event detected based on the photographic data and records them in the recording unit 20 .

The reproduction control unit 124 reproduces various data recorded in the recording unit 20. The reproduction control unit 124 reproduces, for example, photographic data recorded in the recording unit 20 as a data file. The playback control unit 124 plays back event record data stored in the recording unit 20, for example. The reproduction control unit 124 reproduces arbitrary photographic data according to a control signal output from the operation control unit 126 and corresponding to the operation of the operation unit 30.

The person recognition processing unit 125 executes person recognition processing on the video data constituting the photographed data, and detects a person included in the video data. The person recognition processing unit 125 performs a person recognition process on the video data that constitutes the photographed data of the surroundings of the vehicle, which is acquired from the imaging unit 10 by the photographed data acquisition unit 120, and detects the presence or absence of a person. The person recognition processing unit 125 scans the photographic data frame by frame, and determines that a person has been detected when a person of a predetermined size or more is detected while referring to a person detection dictionary (not shown).

The operation control unit 126 receives an operation signal related to an operation received from the user or the like from the operation unit 30. The operation control unit 126 receives operation signals related to operations such as, for example, starting reproduction of photographic data and event record data, and starting recording of photographic data. The operation control section 126 outputs a control signal according to the received operation signal to the recording control section 123 or the reproduction control section 124. In this case, the recording control section 123 and the reproduction control section 124 execute operations according to the control signals.

The display control section 127 displays various images on the display section 40. The display control unit 127 displays, for example, the photographic data and event record data reproduced by the reproduction control unit 124 on the display unit 40. Specifically, the display control unit 127 displays the video on the display unit 40 by outputting a video signal to the display unit 40. The display control unit 127 displays the shooting data on the display unit 40 by, for example, outputting a video signal related to the shooting data and event record data recorded in the recording unit 20 to the display unit 40.

The event detection unit 128 detects an event that occurs in the vehicle. The event detection unit 128 detects an event that occurs in the vehicle based on the detection result of a moving body by the moving body detection unit 131 and the magnitude of the acceleration detected by the sensor 50. Specifically, when the moving object detecting section 131 detects a moving object, the event detecting section 128 detects it as a first event. The event detection unit 128 detects the acceleration as a second event when the sensor 50 detects an acceleration of a predetermined value or higher.

The event detection section 128 may detect an event based on the detection result of a person included in the photographic data acquired by the photographic data acquisition section 120. In this case, the event detection unit 128 may detect the first event when a person is detected by the person recognition processing performed on the photographed data by the person recognition processing unit 125.

The position information acquisition unit 129 receives a GNSS signal from the GNSS signal reception unit 60. The location information acquisition unit 129 calculates current location information based on the GNSS signal.

Parking detection unit 130 detects that the vehicle is parked. The parking detection unit 130 detects whether the vehicle is parked, for example, when the vehicle is stopped based on the position information acquired by the position information acquisition unit 129 and the accessory power supply that supplies power to the recording device 1 is turned off. Detect what happened. Further, the parking detection unit 130 may detect that the vehicle is parked using the vehicle information acquired by the CAN interface unit 70. The parking detection unit 130 detects that the vehicle is parked, for example, based on the fact that the vehicle speed information acquired as the vehicle information indicates a vehicle speed of zero and the parking gear is selected. Furthermore, in addition to the above-mentioned detection, conditions such as that the handbrake has been operated and that the current position of the vehicle indicates a parking lot may be added. The parking detection unit 130 may detect combinations of various conditions. The parking detection unit 130 detects that the vehicle is parked based on the detected conditions.

The moving object detection section 131 detects the presence or absence of a moving object from the video data that constitutes the photographic data acquired by the photographic data acquisition section 120. The moving object detection unit 131 detects a moving object by detecting, for example, an area in which brightness or color information changes from frame to frame in units of pixels in video data or in units of blocks of several square pixels. The event detection unit 128 determines that a moving object has been detected when a temporal change is detected in an area larger than a predetermined size. The moving object detection unit 131 may detect a moving object using other well-known methods.

The surrounding situation determination unit 132 judges the surrounding situation of the vehicle. The surrounding situation determination unit 132 determines whether the surrounding situation of the vehicle is such that car breakage is likely to occur. For example, the surrounding situation determining unit 132 determines whether the surrounding situation of the vehicle is such that the amount of traffic of the person recognized by the person recognition processing unit 125 is greater than or equal to a predetermined amount. The surrounding situation determination unit 132 determines that the vehicle is in a state in which break-ins are likely to occur when the amount of people passing around the vehicle is less than a predetermined amount. The traffic volume of people may be determined based on the number of people detected during a predetermined period (for example, 5 minutes) before the event detection time, for example. For example, if the number of people detected in the 5 minutes before the event detection time is less than 5 minutes, the surrounding situation determination unit 132 determines that the situation is likely to cause car break-ins.

The surrounding situation determination unit 132 may determine whether the situation is such that vehicle break-ins are likely to occur, based on the brightness (for example, illuminance) around the vehicle. In this case, the surrounding situation determination unit 132 may determine that the vehicle is likely to be broken into if the illuminance around the vehicle is less than a predetermined value.

The surrounding situation determination unit 132 may determine whether the situation is such that car break-in is likely to occur, based on the loudness of sounds around the vehicle. In this case, the surrounding situation determination unit 132 may determine that the situation is such that a car break-in is likely to occur when the sound pressure level around the vehicle is less than a predetermined value.

The surrounding situation determining unit 132 may determine whether the situation is such that car break-in is likely to occur, based on the time period during which the vehicle is parked. In this case, if the time period during which the vehicle is parked is late at night, the surrounding situation determination unit 132 may determine that the vehicle is likely to be burglarized.

The surrounding situation determination unit 132 may determine whether or not the situation is such that car break-in is likely to occur using a determination method other than the above-mentioned determination method, or an arbitrary combination including the above-mentioned determination methods.

[Processing of first embodiment]
Processing of the recording control device according to the first embodiment will be explained using FIG. 2. FIG. 2 is a flowchart showing an example of the processing flow of the recording control device according to the first embodiment.

When parking monitoring is started, the control unit 100 determines whether an event has been detected (step S10). Specifically, the event detection unit 128 detects a first event based on moving object detection or a second event based on acceleration detection. If it is determined that an event has been detected (step S10; Yes), the process advances to step S11. On the other hand, if it is determined that no event has been detected (step S10; No), the process advances to step S15.

If it is determined Yes in step S10, the control unit 100 determines whether the detected event is due to moving object detection (step S11). Specifically, the control unit 100 determines whether the event detected in step S10 is a first event based on moving object detection or a second event based on acceleration detection. Here, it is determined whether the detected event is the second event, that is, whether or not it is an event based on moving object detection as an example of the second event. If it is determined in step S11 that the event is not detected by moving object detection (step S11; No), the process advances to step S12. On the other hand, if it is determined that the event is detected by moving object detection (step S11; Yes), the process advances to step S13.

If the determination in step S11 is No, the control unit 100 stores the photographic data of the first period as event detection data (step S12). Specifically, the recording control unit 123 stores the photographic data of the first period in the recording unit 20 as event recording data. A method for storing photographic data of the first period as event record data will be explained using FIG. 3.

As shown in FIG. 3, the recording control section 123 records the photographic data that has been converted into files such as photographic data D1 to photographic data D7 into the recording section 20 as loop recording data. When the event detection unit 128 detects an event at timing t0, the recording control unit 123 records loop recording data for a period from (t0-t1) to (t0+t1) before and after the normal period as event recording data. Save to 20. The time t1 is not particularly limited, but is, for example, 30 seconds. In this case, the recording control unit 123 stores photographic data for 30 seconds before and after the timing t0 at which the event detection unit 128 detected the event in the recording unit 20 as event recording data ID1. The event record data in this case is stored in an event record folder in the recording unit 20, for example.

Referring again to FIG. If the determination in step S11 is Yes, the control unit 100 determines whether the situation is such that car break-in is likely to occur (step S13). Specifically, the surrounding situation determination unit 132 determines whether the amount of traffic of people around the vehicle is low. If it is determined that the situation is not likely to cause car break-in (step S13; No), that is, if it is determined that there is a large amount of traffic around the vehicle, the process proceeds to step S12. On the other hand, if it is determined that the situation is such that car break-in is likely to occur (step S13; Yes), that is, if it is determined that the amount of people passing around the vehicle is small, the process advances to step S14.

Instead of or in addition to determining whether the traffic volume of people around the vehicle is low, the process in step S13 may determine whether the illuminance around the vehicle is less than a predetermined value. . Specifically, it is determined whether the illuminance around the vehicle is less than the predetermined illuminance, such as when there are few street lights at night, and the illuminance is set to a predetermined brightness of, for example, about 50 lux.

Further, the process in step S13 may use determination as to whether the volume of sound around the vehicle is less than a predetermined sound pressure level. Specifically, the sound pressure level around the vehicle is such that there is not much human activity around the vehicle, and the sound pressure level is set to a predetermined sound pressure level of about 50 dB, for example. Determine whether or not the sound pressure level is lower than the sound pressure level.

Furthermore, the process in step S13 may be determined using the time period during which the vehicle is parked. Specifically, for example, the period from 23:00 to 05:00 is a time period when there is little foot traffic and car break-ins are likely to occur.

If the determination in step S13 is Yes, the control unit 100 stores the photographic data for a period longer than the first period as event record data (step S14). Specifically, the recording control unit 123 stores the photographic data of the second period, which is longer than the first period, in the recording unit 20 as event record data. A method for storing photographic data for a period longer than the normal period will be explained using FIG. 4.

As shown in FIG. 4, the recording control unit 123 saves the event record data by changing the time before and after the timing t0 when the event is detected. For example, when detecting a car break-in as an event, the recording control unit 123 detects an event that is a period during which a preliminary inspection or the like is likely to be carried out when the detected event is a car break-in. The event record data may be stored in the recording unit 20 such that the time before the event is detected is longer than the time after the event is detected. When the event detection unit 128 detects an event at timing t0, the recording control unit 123 stores loop recording data for the period from (t0-t2) to (t0+t3) before and after the event detection unit 128 as event recording data in the recording unit 20. do. The time t2 is, for example, 120 seconds. The time t3 is, for example, 30 seconds. In this case, the recording control unit 123 stores photographic data for 120 seconds before the timing t0 at which the event detection unit 128 detected the event and for 30 seconds after the timing t0 as event recording data ID3 in the recording unit 20. This makes it possible to more appropriately store the actions of the parties involved in the event before the event occurs.

Referring again to FIG. The control unit 100 determines whether parking monitoring has ended (step S15). Specifically, when the operation control unit 126 receives a signal from the operation unit 30 to end parking monitoring, it is determined that parking monitoring has ended when the parking detection unit 130 detects operation of the vehicle engine. be done. If it is determined that parking monitoring has ended (step S15; Yes), the process in FIG. 2 ends. On the other hand, if it is determined that parking monitoring has not ended (step S15; No), the process advances to step S10.

As described above, in the first embodiment, the time for recording photographic data is changed depending on whether the detected event is the first event or the second event. In the first embodiment, when the event is a second event detected by acceleration detection, the photographic data of the first period, which has a short storage time, is stored as event record data. In the first embodiment, when the first event is based on photographic data such as moving object detection, photographic data of a second period longer than the first period is saved as event record data. As a result, in the first embodiment, when the detected event is a car break-in, which is often the first event based on the photographic data, the first embodiment can be Since the data can be saved as event record data, parking monitoring can be performed appropriately.

[Second embodiment]
The configuration of the recording apparatus according to the second embodiment will be described using FIG. 5. FIG. 5 is a block diagram showing an example of the configuration of a recording device according to the second embodiment.

As shown in FIG. 5, the recording device 1A is different from the recording device 1 shown in FIG. ing.

Geographical information acquisition section 133 acquires map data 80 from the outside or from recording section 20 . The map data 80 includes various types of geographical information and information regarding structures including buildings. The map data 80 may include information indicating whether the area has a high traffic volume of people. The map data 80 may include information regarding the amount of people passing by depending on the time zone for each region. The map data 80 may include, for example, information regarding locations where thefts including car break-ins occur frequently.

The surrounding situation determination unit 132A determines whether the parking position of the vehicle is surrounded by a large amount of pedestrian traffic based on the position information acquired by the position information acquisition unit 129 and the map data 80 acquired by the geographical information acquisition unit 133. Determine whether or not the position is the same. If the parking location of the vehicle is in a theft-prone area, the surrounding situation determination unit 132A may determine that the parking location is a location where many car break-ins occur. The surrounding situation determination unit 132A may determine that the parking position of the vehicle is a place where the number of people passing by is low, and that the parking position is a place where car break-ins occur frequently.

[Processing of second embodiment]
The processing of the recording control device according to the second embodiment will be described using FIG. 6. FIG. 6 is a flowchart showing an example of the processing flow of the recording control device according to the second embodiment.

The processes from step S20 to step S22, step S24, and step S25 are the same as the processes from step S10 to step S12, step S14, and step S15 shown in FIG. 2, respectively, so the explanation will be omitted. The processing shown in FIG. 6 differs in processing after a moving object is detected in the moving object detection.

If it is determined as Yes in step S21, the control unit 100 determines whether the vehicle is parked at a parking position where the amount of pedestrian traffic is low (step S23). Specifically, the surrounding situation determination unit 132A determines whether the parking position of the vehicle is based on the position information acquired by the position information acquisition unit 129 and the map data 80 acquired by the geographical information acquisition unit 133. It is determined whether the amount is small, for example, in a commercial area or in a location far from a main road. If it is determined that the parking position is not at a parking position where the amount of human traffic is small (step S23; No), the process advances to step S22. On the other hand, if it is determined that the parking position has a small amount of pedestrian traffic (step S23; Yes), the process advances to step S24.

As described above, in the second embodiment, the shooting is performed depending on whether the parking position is a position where there is a low amount of human traffic and is a parking position where it is assumed that there is a high possibility that car break-ins will occur. Change the time for recording data. Thereby, the second embodiment can perform parking monitoring more appropriately.

[First variation]
Next, processing of a modification according to each embodiment will be described. The recording apparatus 1 according to the first embodiment will be described below, but the same applies to the recording apparatus 1A according to the second embodiment, so the explanation will be omitted.

The recording device 1 changes the time for recording photographic data depending on whether it is a first event or a second event. For example, if a second event is detected within a predetermined period (for example, 120 seconds) after the detection of the first event, the recording device 1 records the first event record data recorded in the first event and the second event. The second event record data detected in the second event may be stored in association with the second event record data. Specifically, the recording device 1 stores the first event recording data and the second event recording data so that the second event recording data is continuously reproduced after the first event recording data is reproduced. It's fine. Further, the recording device 1 includes the first event record data and the first event record data so that when the second event record data is reproduced, the first event record data associated with the second event record data is reproduced first. It may also be stored in association with the second event record data. The recording device 1 records the first event, and if a second event is detected during recording of the first event, stores the first event recording data and the second event recording data as one data file. You can do it like this.

Further, the recording device 1 may store the first event record data and the second event record data with different overwrite priorities. In this case, the recording device 1 may save the second event record data in an overwrite-prohibited folder. The recording device 1 may save the first event record data with a flag that prohibits overwriting for a predetermined period or a predetermined number of times.

[Save method change process]
The flow of processing for changing the storage method of event record data will be described using FIG. 7. FIG. 7 is a flowchart illustrating an example of the flow of processing for changing the storage method of event record data.

The control unit 100 determines whether an event due to moving object detection has been detected (step S30). Specifically, the event detection unit 128 determines whether a first event based on moving object detection has been detected. If it is determined that an event due to moving object detection has been detected (step S10; Yes), the process advances to step S31. On the other hand, if it is determined that no event due to moving object detection has been detected (step S30; No), the process of FIG. 7 is ended.

If it is determined Yes in step S30, the control unit 100 determines whether or not an event by acceleration detection is detected within a predetermined time after the event by moving object detection is detected (step S31). Specifically, after detecting the first event based on moving object detection, the event detection unit 128 determines whether or not an event based on acceleration detection has been detected. If it is determined that an event due to acceleration detection has been detected within the predetermined time (step S31; Yes), the process proceeds to step S32. On the other hand, if it is determined that no event due to acceleration detection has been detected within the predetermined time (step S31; No), the process advances to step S33.

If the determination in step S31 is Yes, the control unit 100 stores the photographic data based on the moving object detection and the photographic data based on the acceleration detection in association with each other (step S32). Specifically, the recording control unit 123 stores first event recording data based on moving object detection and second event recording data based on acceleration detection in the recording unit 20 in association with each other. Then, the process of FIG. 7 ends.

If the determination in step S32 is No, the control unit 100 stores the photographic data based on the moving object detection (step S33). Specifically, the recording control unit 123 stores first event recording data based on the moving object detection in the recording unit 20. Then, the process of FIG. 7 ends.

As described above, in the modified example, when the second event is detected after the first event is detected, the first event record data and the second event record data can be stored more appropriately. .

Although the embodiments of the present disclosure have been described above, the present disclosure is not limited by the contents of these embodiments. Furthermore, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those that are in a so-called equivalent range. Furthermore, the aforementioned components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the constituent elements can be made without departing from the gist of the embodiments described above.

1,1A Recording device 10 Imaging section 20 Recording section 30 Operation section 40 Display section 50 Sensor 60 GNSS signal receiving section 70 CAN interface section 80 Map data 100,100A Control section (recording control device)
110 Bus 120 Photographic data acquisition section 121 Buffer memory 122 Photographic data processing section 123 Recording control section 124 Playback control section 125 Person recognition processing section 126 Operation control section 127 Display control section 128 Event detection section 129 Position information acquisition section 130 Parking detection section 131 Moving object detection unit 132, 132A Surrounding situation determination unit

Claims (8)

a photographic data acquisition section that acquires photographic data photographed by a photographing section that photographs the surroundings of the vehicle;
a parking detection unit that detects that the vehicle is parked;
a moving object detection unit that detects a moving object from video data constituting photographic data acquired by the photographic data acquisition unit while the vehicle is parked;
an event detection unit that detects a first event for the vehicle based on a detection result of the moving object detection unit;
a surrounding situation determination unit that judges the surrounding situation of the vehicle;
a recording control unit that changes and saves the time length of the photographed data based on the determination result of the surrounding situation determination unit when the event detection unit detects a first event for the vehicle;
A recording control device comprising: The surrounding situation determination unit determines the amount of human traffic around the vehicle,
When the surrounding situation determining unit determines that the amount of people passing around the vehicle is less than a predetermined amount, the recording control unit records photographic data for a long period before the detection time of the first event. save,
The recording control device according to claim 1. further comprising a person recognition processing unit that performs person recognition from video data forming the photography data acquired by the photography data acquisition unit,
The surrounding situation determination unit determines whether the amount of people passing around the vehicle is greater than a predetermined amount based on the person recognition result when the event detection unit detects the first event.
The recording control device according to claim 2. a position information acquisition unit that acquires position information of the vehicle;
further comprising a geographic information acquisition unit that acquires geographic information around the parking position of the vehicle,
The surrounding situation determining unit is configured to determine whether the surroundings of the vehicle are people when the event detecting unit detects the first event, based on the geographical information surrounding the parking position of the vehicle acquired by the geographical information acquiring unit. determining whether the traffic volume of the vehicle is greater than a predetermined value;
The recording control device according to claim 2. The surrounding situation determination unit determines the brightness around the vehicle,
When the recording control unit determines that the brightness around the vehicle is less than a predetermined value, the recording control unit stores photographic data for a long period before the detection time of the first event.
The recording control device according to claim 1. The event detection unit detects a second event based on acceleration information applied to the vehicle,
When the recording control unit detects a second event within a predetermined period after the detection of the first event, the recording control unit associates and stores the first event and the second event.
The recording control device according to any one of claims 1 to 5. a photographic data acquisition step of acquiring photographic data photographed by a photographing unit photographing the surroundings of the vehicle;
a parking detection step of detecting that the vehicle is parked;
a moving object detection step of detecting a moving object from video data constituting photographic data acquired while the vehicle is parked;
an event detection step of detecting a first event for the vehicle based on the detection result in the moving object detection step;
a surrounding situation determination step of determining the surrounding situation of the vehicle;
When a first event for the vehicle is detected in the event detection step, a recording control step of changing and saving the time length of the photographed data based on the determination result in the surrounding situation determination step;
A recording control method executed by a recording control device. A computer that operates as a recording control device,
a photographic data acquisition step of acquiring photographic data photographed by a photographing unit photographing the surroundings of the vehicle;
a parking detection step of detecting that the vehicle is parked;
a moving object detection step of detecting a moving object from video data constituting photographic data acquired while the vehicle is parked;
an event detection step of detecting a first event for the vehicle based on the detection result in the moving object detection step;
a surrounding situation determination step of determining the surrounding situation of the vehicle;
When a first event for the vehicle is detected in the event detection step, a recording control step of changing and saving the time length of the photographed data based on the determination result in the surrounding situation determination step;
A program to run.

Images