WO2017126280A1 - 移動体計測システム、及び計測対象の領域における人物の数を特定する方法 - Google Patents
移動体計測システム、及び計測対象の領域における人物の数を特定する方法 Download PDFInfo
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- WO2017126280A1 WO2017126280A1 PCT/JP2016/088056 JP2016088056W WO2017126280A1 WO 2017126280 A1 WO2017126280 A1 WO 2017126280A1 JP 2016088056 W JP2016088056 W JP 2016088056W WO 2017126280 A1 WO2017126280 A1 WO 2017126280A1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/87—Combinations of systems using electromagnetic waves other than radio waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
- G06M7/00—Counting of objects carried by a conveyor
Definitions
- the specific embodiment of the present application relates to a moving body measurement system and a method for specifying the number of persons in a measurement target region, for example, a technique for measuring movement of an object indoors and outdoors.
- a human detection technique using an apparatus that uses an infrared laser beam, a camera, or the like to scan the periphery of the apparatus and measure the position of an object around the apparatus is used.
- a technique for detecting a person by extracting a face region from a camera image is also used in the same manner.
- a method is disclosed in which the presence of a person can be detected with a laser and information obtained from an image of a camera that captures the position of the person (for example, personal identification results by face) can be added. (Patent Document 1).
- Patent Document 2 A method of counting the number of people in the half body and the left half body is disclosed (Patent Document 2).
- Patent Document 1 it is possible to add information of a camera image to a highly accurate position using a laser.
- a shield or the like there is a problem that human measurement cannot be performed when measurement using a laser cannot be performed due to a shield or the like.
- Patent Document 2 it is possible to remove the influence of occlusion within a single measuring device. However, there is a problem that an occlusion measure straddling between measuring devices is not considered.
- the measurement result of each measuring device is taken over and the person's trajectory is extracted (tracking function).
- the measurement result after taking over is also affected.
- the present disclosure has been made in view of this point, and provides a technique for outputting a highly reliable result regarding the number of persons and reducing false detection.
- a plurality of combinations of measurement devices configured using at least a part of a plurality of measurement devices is provided in advance, and the plurality of combinations Based on the measurement data from each of at least some of the candidates, the number of candidates corresponding to each of at least some combinations is calculated, and the final number of people is identified based on the number of candidates.
- the final number of persons is output. More specifically, for each number of people extracted in each combination, voting processing is performed for each combination to determine the most reliable number of people as the correct number of people.
- the number of persons in a predetermined area can be counted with high reliability.
- FIG. 1 is a diagram illustrating a schematic configuration example of an information management system according to an embodiment of the present disclosure.
- US process until management
- the reliability of the obtained number of persons is not high.
- the embodiment of the present disclosure may be implemented by software running on a general-purpose computer, or may be implemented by dedicated hardware or a combination of software and hardware.
- each information of the present disclosure will be described in a “table” format.
- the information does not necessarily have to be represented by a data structure of a table, such as a data structure such as a list, a DB, a queue, or the like. It may be expressed as Therefore, “table”, “list”, “DB”, “queue”, etc. may be simply referred to as “information” to indicate that they do not depend on the data structure.
- each processing unit trusted person / trajectory extraction unit, and display unit
- the program is executed by the processor. Since the processing determined in this way is performed using the memory and the communication port (communication control device), the description may be made with the processor as the subject.
- the processing disclosed with the program as the subject may be processing performed by a computer such as a management server or an information processing apparatus. Part or all of the program may be realized by dedicated hardware, or may be modularized.
- Various programs may be installed in each computer by a program distribution server or a storage medium.
- an information management system that visualizes how long a person stays in a facility stays is taken as an example of a system for measuring a person inside and outside a building.
- FIG. 1 is a diagram illustrating a schematic configuration example of an information management system according to an embodiment of the present disclosure.
- the information management system includes a client device (CL) operated by a manager (US), a plurality of base stations (BS), and a mobile measurement system (GS), which are connected via a network (NW). Connected.
- CL client device
- BS base stations
- GS mobile measurement system
- the management is, for example, an administrator who checks how many people are staying in which area of the facility.
- the manager (US) here is not necessarily limited to an actual manager, and may be a person who operates a facility such as a manager or a facility manager. In that sense, it can be simply referred to as “administrator”.
- the client device (CL) is a terminal that is configured by, for example, a normal computer, is connected to the mobile object measurement system (GS) via the network (NW), and is operated by the manager (US).
- the network connects the client device (CL), the mobile measurement system (GS), and the base station (BS). These devices and systems are configured to be able to transmit and receive data and information to and from each other via a network (NW).
- the base station (BS) is a measuring device that measures a person in the facility, and includes, for example, a sensor.
- the moving body measurement system is a trajectory extraction system that automatically extracts the reliability of a base station (BS) in person detection in addition to person detection, aiming to visualize the stay of people in a facility.
- the mobile body measurement system (GS) includes a number / trajectory extraction system (GSO), a number / trajectory display system (GSC), and a business application (GSA).
- the number of people / trajectory extraction system is related to sensor data transmitted from the base station (BS) (for example, the time it takes for a signal to be reflected and returned to the person and the direction in which the reflected wave returns) This is a system for extracting person detection and reliability in person detection from information.
- the number of people / trajectory extraction system (GSO) consists of a normal computer, database (GSO1), measurement processing unit (GSO2), trajectory coordinate extraction unit (GSO3), trusted number of people / trajectory extraction unit (GSO4) And an input / output unit (GSO5).
- the measurement processing unit (GSO2), the trajectory coordinate extraction unit (GSO3), and the trusted number / trajectory extraction unit (GSO4) are constituted by programs, for example, and a CPU (processor) (not shown) downloads the program from a memory or storage device (not shown). Each function corresponding to the program is realized by reading and executing.
- the database (GSO1) is realized by a storage device.
- the input / output unit (GSO5) is an interface for communicating commands and data with, for example, the number of people / trajectory display system (GSC).
- the database (GSO1) is a database that collectively manages data used in the number of people / trajectory extraction system (GSO).
- the measurement processing unit (GSO2) processes sensor data (also referred to as measurement data) from the base station (BS) based on a measurement condition list (GSO105: see FIG. 7). Specifically, the measurement processing unit (GSO2) extracts measurement data of the base station that matches the conditions listed in the measurement condition list (GSO105). The extracted result is stored in the database (GSO1).
- the trajectory coordinate extraction unit (GSO3) performs processing for obtaining the coordinates where the person is staying from the measurement data extracted by the measurement processing unit (GSO2). The calculated coordinate values are stored in the database (GSO1).
- the trusted number / trajectory extraction unit (GSO4) calculates the reliability from multiple measurement results (measurement data) (by voting process described later), and uses the measurement results with high reliability to determine the coordinates where the person is staying. Perform the requested process.
- the highly reliable coordinate value is stored in the database (GSO1).
- the input / output unit (GSO5) manages the input / output of the number of people / trajectory extraction system (GSO). In particular, the input / output unit (GSO5) performs a process of outputting data in response to a command sent from the number / trajectory display system (GSC).
- the number / trajectory display system is a system that consists of a normal computer and sends requests from the client device (CL) to the number / trajectory extraction system (GSO) and displays the results.
- a display unit GSC2
- an input / output unit GSC3
- a database GSC4
- the request unit (GSC1) and display unit GC2 are composed of, for example, programs, and each function corresponding to the program is realized by reading and executing the program from a memory or storage device (not shown) by a CPU (processor) (not shown) Is done.
- the database (GSC4) is realized by a storage device.
- the input / output unit (GSC3) is an interface for communicating commands and data with, for example, the number of people / trajectory extraction system (GSO).
- the request unit (GSC1) receives a request from the client device (CL) and sends it to the number of people / trajectory extraction system (GSO).
- the display unit (GSC2) extracts the features required for display from the results sent from the number / trajectory extraction system (GSO) and the information stored in the database (GSC4), and generates a display screen. Perform the process.
- the input / output unit (GSC3) manages the input / output of the number / trajectory display system (GSC).
- the number of people / trajectory viewer shows an example of the result output by the input / output unit (GSC3).
- the number of people / trajectory viewer (GSC5) for example, is an accumulation of the area (room, space, etc.) to be counted, the date and time specified by the administrator (US), and the period specified by the administrator (US)
- the number of passing people (total number of people) and the base station reliability are included as display items.
- the base station reliability is information indicating the reliability of each base station within a specified period, for example, indicating the ratio of base stations determined to have high reliability among all base stations (BS). Yes.
- all base station IDs may be listed to indicate which base station is determined to have high reliability.
- the business application is a process for linking with other business applications such as an operation system and a signage system.
- GSO people / trajectory extraction system
- GSC number of people / trajectory display system
- FIG. 2 is a sequence diagram showing processing until the manager (US) checks how long a person in a predetermined facility stays in the information management system according to the present embodiment.
- This sequence diagram shows processing sequences in the base station (BS), the number / trajectory extraction system (GSO), the number / trajectory display system (GSC), and the client device (CL).
- BS base station
- GSO number / trajectory extraction system
- GSC number / trajectory display system
- CL client device
- Sequence 1 Input (CL1)
- the manager (US) uses the client device (CL) to specify the location, time / period, in which a person (number of people) in a predetermined facility is to be confirmed.
- the client device (CL) sends the specified result (input request) to the request unit (GSC1) of the number / trajectory display system (GSC).
- Sequence 2 Request part (GSC1)
- the request unit (GSC1) receives the instruction (request) received from the client device (CL), and separates the request (command) related to display and the request (command or condition) related to measurement into the request (command and condition).
- Sequence 3 Database (GSC4)
- the display request from the request unit (GSC1) is stored in the database (GSC4) (registration (GSC41)).
- information (request history) indicating what kind of request has been issued from the client (CL) can be stored in the database and managed.
- Sequence 4 Database (GSO1) A request regarding measurement from the request unit (GSC1) is stored in the database (GSO1) (registration (GSO11)).
- the conditions included in the request are information for specifying, for example, measurement start date and time, scan speed, scan frequency, measurement range (scan range), and the like.
- Base station The base station (BS) acquires the condition registered by the registration (GSC11) from the mobile object measurement system (GS), and scans the space based on the condition (scan (BS1)).
- Measurement processing unit (GSO2)
- GSO2 specifies an effective base station (BS) based on the measurement condition list (GSO105) from the sensor data obtained by scanning (BS1) from the base station (BS), and which base station ( Decide whether to use BS) measurement data (extract base station). The result is registered in the database (GSO1) (registration (GSO12)).
- Sequence 7 locus coordinate extraction unit (GSO3)
- GSO3 performs processing for obtaining coordinates where the person is staying from the measurement data of the base station (BS) specified by the measurement processing unit (GSO2).
- the result is registered in the database (GSO1) (registration (GSO12)).
- (Viii) Sequence 8 Trusted number / trajectory extraction unit (GSO4)
- the trusted number / trajectory extraction unit (GSO4) performs voting using multiple measurement results (measurement data measured under the primary key measurement conditions and other measurement conditions described later), and the reliability of the measurement data Ask for.
- the trusted person / trajectory extraction unit (GSO4) performs processing for obtaining coordinates where the person is staying, using a measurement result with high reliability. The result is registered in the database (GSO1) (registration (GSO12)).
- (Ix) Sequence 9 Display section (GSC2)
- the display unit (GSC2) uses the registration contents (registration (GSC41)) of the database (GSC4) that stores the results sent from the number of people / trajectory extraction system (GSO) and the feature quantity required for display.
- GSO trajectory extraction system
- a process for generating a display screen is performed, and data of the display screen is transmitted to the client (CL) and the database (GSC4).
- (Xi) Sequence 11 Client (CL) The client device (CL) receives display screen data generated by the display unit (GSC2) from the moving body measurement system (GS) and displays the data on the display screen of the client device (CL) (output (CL2)).
- GSC2 display unit
- GS moving body measurement system
- CL2 output
- FIG. 3 is a diagram illustrating an arrangement example of base stations in a building according to the present embodiment.
- One example for clarifying the relationship of the internal structure of a building is the map (GSO101) in FIG.
- the upper left is the origin (0,0) (GSO1011), and the representation method is (X coordinate, Y coordinate).
- the value of the X coordinate (GSO1012) increases each time it proceeds in the right direction, and the value of the Y axis (GSO1013) increases each time it proceeds in the downward direction.
- This map can be classified into a space where a person can move and a space where a person cannot move, and can be displayed in a legend (GSO1014). Furthermore, these can be expressed in color, and a space in which a person can move may be indicated as movable (GSO10141), and a space where a person cannot move may be indicated as immovable (GSO10142).
- a plurality of base stations BS-ID01 to BS-ID07 are arranged so as to cover (scan) the range of all movable (GSO10141) spaces inside the building.
- BS-ID01 is at coordinates (2,4)
- BS-ID02 is at coordinates (2,9)
- BS-ID03 is at coordinates (5,8)
- BS-ID04 is at coordinates (8,10)
- BS-ID05 is arranged at coordinates (12,12)
- BS-ID06 is arranged at coordinates (12,8)
- BS-ID07 is arranged at coordinates (12,3).
- BS-ID01 is the area enclosed by coordinates (1,0) (2,0) (1,7) (2,7)
- BS-ID02 is the coordinates (1,6) (2,6) (2 , 8) (6,8) (6,9) (2,9) (2,13) (1,13)
- BS-ID03 has coordinates (1,8) (5,8) ( 5,6) (8,6) (8,11) (5,11) (5,9) (1,9)
- BS-ID04 has coordinates (5,7) (12,7) (12,10) (8,10) (8,11) (5,11)
- BS-ID05 has coordinates (9,8) (12,8) (12,12) (14,12 ) (14,13) (11,13) (11,10) (9,10)
- BS-ID06 has coordinates (9,7) (11,7) (11,4) (12, 4) (12,11) (11,11) (11,10) (9,10)
- BS-ID07 has coordinates (11,0) (14,0) (14,3) (12 , 3) (12, 7) and (11, 7),
- the map (GSO101) is stored in the database (GSO1). Further, this map (GSO101) may be used as the background image of the number / trajectory viewer (GSC5).
- FIG. 4 is a diagram illustrating an example of an effective area determination table (GSO102) according to the present embodiment.
- the information of the effective area determination table (GSO102) is generated corresponding to FIG.
- the map (GSO101) shows the internal structure of the building, but when actually obtaining the trajectory, it is necessary to obtain the presence or absence of movement in coordinate units.
- One example of a summary of the correspondence table is information on the effective area determination table (GSO102). There is a one-to-one correspondence between the map (GSO101) and the effective area determination table (GSO102).
- the valid area determination table (GSO102) includes X coordinate (GSO1021), Y coordinate (GSO1022), type (GSO1023), and valid flag (GSO1024) as configuration information.
- the X coordinate (GSO1021) indicates the X coordinate of the map (GSO101).
- the Y coordinate (GSO1022) indicates the Y coordinate of the map (GSO101).
- the type (GSO1023) is the type of the corresponding area in the map (GSO101), and indicates an actually installed object. For example, obstacles such as shelves and walls and passages are described.
- the valid flag (GSO1024) indicates whether or not it can actually move. 0 indicates that it cannot move, and 1 indicates that it can move.
- the data of the effective area determination table (GSO102) is stored in the database (GSO1). Further, if there is data necessary to show the relationship between the map (GSO101) and coordinates, it can be added.
- FIG. 5 is a diagram showing an example of a base station installation list (GSO103) according to the present embodiment.
- Information for expressing a base station (BS) for measuring a person's movement and trajectory on a map (GSO101) is required.
- One example of the summary of the information is the base station installation list (GSO103) in FIG.
- the base station installation list includes a base station ID (GSO1031), a type (GSO1032), an X coordinate (GSO1033), a Y coordinate (GSO1034), and an X axis measurement range (GSO1035) for a plurality of base stations. And the Y-axis measurement range (GSO1036) as configuration information.
- the base station ID (GSO1031) is identification information for uniquely identifying and specifying the base station.
- the type (GSO1032) is the type of sensor used for the base station. For example, there are a laser radar, a camera, a stereo camera, and the like.
- the X coordinate (GSO1033) is information indicating the X coordinate of the position where the corresponding base station is installed. This X coordinate corresponds to the value of the map (GSO101).
- the Y coordinate (GSO1034) is information indicating the Y coordinate of the position where the corresponding base station is installed. This Y coordinate corresponds to the value of the map (GSO101).
- the X-axis measurement range indicates the X-axis range that can be measured in a situation where the corresponding base station has no obstacle around it.
- the range stores a radius value centered on the X coordinate (GSO1033).
- the Y-axis measurement range indicates the Y-axis range that can be measured in a situation where the corresponding base station has no obstacle around it. In this range, a radius value centered on the Y coordinate (GSO1034) is stored.
- the data of the base station installation list (GSO103) is stored in the database (GSO1). Further, if there is data necessary to show the relationship between the map (GSO101) and the base station information, it can be added.
- FIG. 6 is a diagram showing an example of a locus extraction area correspondence table (GSO104) according to the present embodiment.
- GSO104 locus extraction area correspondence table
- the locus extraction area correspondence table includes a locus extraction area ID (GSO1401), an X coordinate start point (GSO1042), an X coordinate end point (GSO1043), a Y coordinate start point (GSO1044), and a Y coordinate end point (GSO1045). , And effective base station ID (GSO1046) as configuration information.
- the locus extraction area ID indicates identification information for uniquely identifying and identifying the area where the object is detected.
- the measurement area can be expressed in four coordinates.
- the X coordinate start point (GSO1042), the X coordinate end point (GSO1043), the Y coordinate start point (GSO1044), and the Y coordinate end point (GSO1045) Is used.
- the effective base station ID (GSO1046) stores the ID of a base station that can detect the locus extraction area. In the locus extraction area correspondence table (GSO104), it is desirable that the measurement areas represented in the table do not overlap.
- the data of the locus extraction area correspondence table (GSO104) is stored in the database (GSO1). Further, if there is data necessary to show the relationship between the coordinates when the object is detected and the measurement area, it can be added.
- FIG. 7 is a diagram illustrating an example of a measurement condition list (GSO105) according to the present embodiment. If conditions that can be measured using one or more base stations are collected, management becomes easy.
- a summary of the measurement conditions is the measurement condition list (GSO105) in FIG.
- the measurement condition list includes measurement condition ID (GSO1051), primary key (GSO1052), start time (GSO1053), coordinates (GSO1054), locus extraction area ID (GSO1058), and effective base station ID ( GSO1059) as configuration information.
- Measurement condition ID is identification information for uniquely identifying and specifying the measurement condition.
- the main key (GSO1052) is a key used for identifying a main measurement condition from many measurement conditions. Stores 1 for the primary key and 0 otherwise. For example, only one main key (GSO1052) is set for a measurement target room or a closed space (the room or space shown in FIG. 3).
- the activation time (GSO1053) is information indicating the time when the measurement is activated.
- Coordinate is information indicating the coordinate value of the measurement area that can be measured under the corresponding measurement condition.
- the measurement area can be expressed by four coordinates. Therefore, in the locus extraction area correspondence table (GSO104), the X coordinate start point (GSO1042), the X coordinate end point (GSO1043), the Y coordinate start point (GSO1044), and the Y coordinate end point (GSO1045) are used to represent the measurement area.
- the locus extraction area ID indicates identification information for uniquely identifying / specifying a locus extraction area that can be detected according to the measurement condition of the corresponding measurement condition ID.
- the effective base station ID indicates a base station ID that can detect the area indicated by the locus extraction area ID (GSO1058).
- FIG. 8 is a diagram showing a cover area inside the building (corresponding to the space in FIG. 3) under each measurement condition according to the example of the measurement condition list (GSO105) in FIG.
- the area represented by each key corresponds to the area indicated by the coordinates (GSO1054) of the measurement condition list (GSO105).
- ME-ID01 is the primary key measurement condition and covers the entire area inside the building. That is, if each base station indicated by the effective base station ID (GSO1059) included in the primary key measurement condition is used, the entire area inside the building can be scanned.
- the other keys ME-ID02 to ME-ID06 cover only a part of the building.
- the measurement condition list (GSO105) data is stored in the database (GSO1). If there is data necessary to identify a plurality of measurement conditions, it can be added.
- FIG. 9 is a diagram illustrating an example of sensor data (measured object information) detected by an installed base station in the present embodiment.
- Sensor data includes base station ID (GSO1061), time (GSO1062), X coordinate (GSO1063), and Y coordinate (GSO1064) as configuration information.
- the sensor data (GSO106) acquired from the base station is actually the distance and angle (direction) from the base station to the object.
- the measurement processing unit (GSO2) converts the distance and angle information into coordinates.
- the base station ID (GSO1061) is identification information for uniquely identifying and specifying the base station that transmitted the sensor data (GSO106).
- the time (GSO1062) is the time when sensor data is received from the corresponding base station.
- the X coordinate (GSO1063) indicates the coordinate value of the X axis of the object.
- the Y coordinate (GSO1064) represents the coordinate value of the Y axis of the object.
- the sensor data (GSO106) data is stored in the database (GSO1). Further, sensor data (GSO106) can be added if there is data necessary to show the relationship between an object and a base station that detects the object.
- FIG. 10 is a diagram illustrating an example of trajectory data generated based on the sensor data of FIG.
- the trajectory coordinate extraction unit GSO3 is first described in the measurement condition ID (GSO1051) of the measurement condition list (GSO105).
- the object (person) is extracted from the sensor data (FIG. 9) from the base station of the effective base station ID (GSO1059) (the center coordinates of the object and the size of the object are obtained).
- the trajectory coordinate extraction unit calculates the trajectory of the object from the change in motion of the detected object within a predetermined time (determines the center coordinates of the object, the size of the object, and the speed of the object).
- the calculated trajectory of the object is stored in trajectory data (GSO107).
- two object trajectories are extracted for the measurement condition ME-ID02 at each time (starting time is 19:45:00 000 on 2014.08.21 and 19:45:01 000 on the same day).
- starting time is 19:45:00 000 on 2014.08.21 and 19:45:01 000 on the same day).
- one object locus is extracted.
- Trajectory data includes measurement condition ID (GSO1071), primary key (GSO1072), individual ID (GSO1073), start point time (GSO1074), start point X coordinate (GSO1075), start point Y coordinate (GSO1076) , End point time (GSO1077), end point X coordinate (GSO1078), end point Y coordinate (GSO1079), speed (m / s) (GSO10710), and size (GSO10711) are included as configuration information. .
- the measurement condition ID is identification information for uniquely identifying and identifying the measurement condition indicated by the measurement condition ID (GSO1051).
- the primary key (GSO1072) is information for identifying the main measurement condition indicated by the primary key (GSO1052).
- the individual ID is identification information for uniquely identifying and identifying an object.
- the start point time (GSO1074) is the time when the detection of the object is started.
- the starting point X coordinate (GSO1075) is the coordinate value of the X axis of the object at the time when the detection of the object is started.
- the starting point Y coordinate is the coordinate value of the Y axis of the object at the time when the detection of the object is started.
- the end point time (GSO1077) is the time when the object detection is finished.
- the end point X coordinate (GSO1078) is the coordinate value of the X axis of the object at the time when the detection of the object is completed.
- the end point Y coordinate (GSO1079) is the coordinate value of the Y axis of the object at the time when the detection of the object is completed.
- Speed (m / s) (GSO10710) is attribute data of an object, and is a value of the speed of the object.
- the size (m 2 ) (GSO10711) is attribute data of the object and is a value of the size of the object.
- the trajectory data (GSO 107) can be added if there is data necessary to indicate information related to the detected object.
- FIG. 11 is a diagram showing an example of a measurement condition candidate list (GSO108) according to this embodiment.
- the measurement condition candidate list (GSO108) derives the trajectory extraction area ID (GSO1041) from the coordinates of the object extracted with the primary key (GSO1072) of the trajectory data (GSO107), and extracts multiple measurement conditions that support the extraction area The information obtained by doing is stored.
- the measurement condition candidate list (GSO108) is necessary for analyzing the number of detected objects using a plurality of measurement conditions.
- the measurement condition candidate list includes main measurement condition ID (GSO1081), time (GSO1082), locus extraction area ID (GSO1083), and candidate measurement condition ID (GSO1084) as configuration information.
- the main measurement condition ID (GSO1081) is information for specifying the measurement condition ID (GSO1071) of the main key (GSO1072) from the trajectory data (GSO107) (see FIG. 10).
- the time (GSO1082) is information indicating the detected time of the object output as the main measurement condition ID (GSO1081) from the acquired trajectory data (GSO107).
- the locus extraction area ID (GSO1083) is the start point X coordinate (GSO1075), start point Y coordinate (GSO1076), and end point X coordinate (GSO1078) of the measurement condition ID (GSO1071) of the primary key (GSO1072) from the locus data (GSO107).
- the X coordinate start point (GSO1042), X coordinate end point (GSO1043), and Y coordinate start point (GSO1044) of the locus extraction area correspondence table (GSO104) (see FIG. 6) specified using the values of the end point Y coordinate (GSO1079).
- the candidate measurement condition ID (GSO1084) is information for identifying and specifying a measurement condition that can measure the region indicated by the locus extraction area ID (GSO1083).
- the data of the measurement condition candidate list (GSO108) is stored in the database (GSO1).
- the measurement condition candidate list (GSO 108) can be added if there is data necessary to indicate information related to the linkage of a plurality of measurement conditions.
- FIG. 12 is a diagram illustrating an example of a measurement number list (GSO109) according to measurement conditions according to the present embodiment.
- the measurement condition list by number of measurement conditions (GSO109) is a list for storing the results of obtaining the number of persons from the measurement conditions and the measurement area obtained from the measurement condition candidate list (GSO108).
- the list of measurement people by measurement condition includes a main measurement condition (GSO1091), a time (GSO1092), a locus extraction area ID (GSO1093), a plurality of candidate measurement conditions (candidate measurement condition 1 (GSO1094), candidate measurement).
- Condition 2 (GSO1095),..., Candidate measurement condition k (GSO109k), where k is an integer from 1 to n, is included as configuration information.
- the main measurement condition (GSO1091) is a measurement condition of the primary key, and indicates an ID (GSO10911) for identifying the measurement condition and the number of persons (GSO10912) obtained by the measurement condition of the primary key.
- the time (GSO1092) is the time when the object is detected.
- the locus extraction area ID (GSO1093) is the locus extraction area ID (GSO1083) obtained from the measurement condition candidate list (GSO108).
- the plurality of candidate measurement conditions are information for identifying each candidate measurement condition and information indicating the number of persons obtained under the measurement condition.
- the candidate measurement condition 1 indicates the first measurement condition
- the measurement condition ID is stored in the ID (GSO10941) column
- the number of persons obtained by the measurement condition 1 is stored in the number of people (GSO10942) column.
- candidate measurement condition 2 GSO1095
- candidate measurement condition k GSO109k
- the number of candidate measurement conditions is equal to the number of measurement conditions stored in the candidate measurement condition ID (GSO1084) (see FIG. 11).
- the data of the measurement number list by measurement condition is stored in the database (GSO1).
- the measurement condition-specific list of measurement people can be added if there is data necessary to show information related to the results of a plurality of measurement conditions.
- FIG. 13 is a diagram showing an example of the reliability-specific number list (GSO110) according to the present embodiment.
- GSO109 the list of number of people by measurement condition
- the reliability-specific number list GSO110
- FIG. 12 a reliability-specific number list (GSO110) is generated from the measurement condition-specific number-of-measurement-number list (GSO109) (FIG. 12), and the reliability for each number of persons is summarized.
- the number of people list by reliability includes time (GSO1101), locus extraction area ID (GSO1102), and reliability ranking (1st reliability (GSO1103), 2nd reliability (GSO1104), Certainly Are included as configuration information.
- the reliability is obtained by voting the measurement conditions of the same number of people in the measurement condition list (GSO109) (see FIG. 12).
- the “number of people” with the largest number of votes is the number of people information with the highest reliability.
- the locus extraction area ID (GSO1102) is the locus extraction area ID (GSO1083) obtained from the measurement condition candidate list (GSO108).
- the first reliability is detailed information on the number of people who voted first.
- the number of people (GSO11031) is the number of people
- the degree of reliability (GSO11032) is the ratio of the number voted to the number one person with the highest degree of reliability
- the measurement condition ID list (GSO11033) is the measurement condition ID obtained at that time , Respectively.
- the second most reliable (GSO1104) is detailed information on the number of people who voted second. In the reliability-related number of people list (GSO110), a column of the number of “number of people” extracted is generated.
- the data of the number of reliability list (GSO110) is stored in the database (GSO1).
- the reliability-related number of persons list (GSO110) can be added if there is data necessary to show information related to the number of persons by reliability.
- FIG. 14 is a diagram illustrating an example of adjusted trajectory data (GSO111) according to the present embodiment.
- the adjusted trajectory data (GSO111) indicates trajectory data obtained using the result of the highest reliability in the number of reliability list (GSO110).
- the data when there is one result with the highest reliability, the data is stored as adjusted trajectory data (GSO111).
- adjusted trajectory data When there are a plurality of results with the highest reliability (when the number of votes is the same), one representative one may be selected and stored, or an average value thereof may be stored. good.
- the individual ID (GSO1111) is information for identifying an object to be detected.
- the time (GSO1112) indicates the time when the object is detected.
- the start point X coordinate (GSO1113) is the coordinate value of the X axis of the object at the start point of the trajectory.
- the starting point Y coordinate (GSO1114) is the coordinate value of the Y axis of the object at the starting point of the trajectory.
- the end point X coordinate (GSO1116) is the coordinate value of the X axis of the object at the end point of the locus.
- the end point Y coordinate (GSO1117) is the coordinate value of the Y axis of the object at the end point of the trajectory.
- the velocity (m / s) (GSO 1118) is attribute data of the object, and is a value of the velocity of the object.
- the size (m 2 ) (GSO1119) is attribute data of the object and is a value of the size of the object.
- the adjusted trajectory data (GSO111) data is stored in the database (GSO1).
- the adjusted trajectory data (GSO111) can be added if there is data necessary to indicate information related to the detected object.
- FIG. 15 is a flowchart for explaining the trusted number / trajectory extraction process executed by the trusted number / trajectory extraction unit (GSO4) of the number / trajectory extraction system (GSO).
- GSO4 trusted number / trajectory extraction unit
- GSO number / trajectory extraction system
- Step GSO401 Measurement Condition Narrowing Process
- the trusted number / trajectory extraction unit (GSO4) selects measurement conditions from a large amount of measurement conditions (see FIG. 7) according to the trajectory data (see FIG. 10). Specifically, the trusted number / trajectory extraction unit (GSO4) corresponds to the trajectory coordinates (start X coordinate (GSO1075), start Y coordinate (GSO1076)) of the primary key (GSO1072) of the trajectory data (GSO107) and the trajectory extraction area.
- a trajectory extraction area ID (GSO1041) to be measured is obtained from the table (GSO104), and candidate measurement conditions are narrowed down from the measurement condition list (GSO105). Then, the trusted number / trajectory extraction unit (GSO4) stores the result in the measurement condition candidate list (GSO108) (see FIG. 11).
- Step GSO402 Number of Persons Extraction Processing
- the trusted number / trajectory extraction unit (GSO4) calculates the number of persons from a plurality of candidate measurement conditions. Specifically, the trusted person / trajectory extraction unit (GSO4) extracts data corresponding to the measurement condition candidate list (GSO108) from the trajectory data (GSO107), and extracts the number of persons for each measurement condition. Then, the trusted number / trajectory extraction unit (GSO4) stores the result in the number-of-measurement-count list (GSO109).
- Step GSO403 Reliability calculation processing for each number of people
- the trusted number / trajectory extraction unit (GSO4) uses information on the number of people obtained from a plurality of candidate measurement conditions (number of people extracted in step GSO402) for each number of people. Find the reliability of. Specifically, the trusted number / trajectory extraction unit (GSO4) extracts the reliability for each number of people by voting for the measurement condition indicating the same number of people in the measurement number list for each measurement condition (GSO109). That is, the ratio of each “number of people” in the types of detected “number of people” information (for example, 1, 2, 3,...) (For example, 1 person: 70%, 2 persons: 20) %, 3 people: 10%). Then, the trusted number / trajectory extraction unit (GSO4) stores the result in the number of reliability list (GSO110) (see FIG. 13).
- Step GSO404 Adjusted trajectory data generation process
- the trusted number / trajectory extraction unit (GSO4) displays the measurement result of the first rank of reliability (GSO1103) from the list of persons by reliability (GSO110) (see FIG. 13). To generate trajectory data. Thereby, highly reliable information is obtained. Then, the trusted number / trajectory extraction unit (GSO4) stores the result in the adjusted trajectory data (GSO111) (see FIG. 14).
- FIG. 16 is a diagram showing an example of the Gate list (GSC 401) according to the present embodiment.
- the Gate list (GSC401) is information indicating the position of the gate used for obtaining the number of passing gates necessary for display on the display unit (GSC2).
- the Gate list includes GateID (GSC4011), name (GSC4012), start point X coordinate (GSC4013), start point Y coordinate (GSC4014), end point X coordinate (GSC4015), end point Y coordinate (GSC4016), Are included as configuration information.
- GateID is identification information for identifying and specifying a gate.
- the name (GSC4012) is the name of GateID (GSC4011).
- the gate position can be expressed in four coordinates. Therefore, the position of each Gate is specified by the start point X coordinate (GSC4013), the end point X coordinate (GSC4015), the start point Y coordinate (GSC4014), and the end point Y coordinate (GSC4016).
- the data of the Gate list (GSC401) is stored in the database (GSC4). If there is information about the gate, it can be added to the Gate list (GSC401).
- FIG. 17 is a diagram showing an example of a display time designation list (GSC402) according to the present embodiment.
- the display time designation list (GSC402) is information indicating the time used to designate the visualization time necessary for display on the display unit (GSC2).
- the display time designation list includes a display time ID (GSC4021), a time (GSC4022), and a period (GSC4023) as configuration information.
- the display time ID (GSC4021) is identification information for identifying and specifying the target display start time and display period.
- the time (GSC4022) is information indicating the time when the display of the target is started.
- the period (GSC4023) is information indicating a period to be visualized from the display start time.
- the data of the display time specification list (GSC402) is stored in the database (GSC4). Further, if there is information related to time designation, it can be added to the display time designation list (GSC402).
- FIG. 18 is a diagram showing an example of the Gate passage table (GSC403) according to the present embodiment.
- the gate passage table (GSC403) is information indicating the time of passage and data indicating the gate, which is used to display the number of people who have passed for each gate. From the adjusted trajectory data (GSO111) (see FIG. 14) and the gate list (GSC401) (see FIG. 16), the number of people passing for each gate is counted, and the passage time and number of people passed are stored in the Gate passage table (GSC403).
- the Gate passage table includes time (GSC4031), Gate_A (GSC4032), and Gate_B (GSC4033) as configuration information.
- the time indicates the time when the object (person) passes through the target Gate.
- Gate_A indicates the number of people who passed Gate_A at time (GSC4031).
- Gate_B indicates the number of people who passed Gate_B at time (GSC4031).
- GSC403 the data of the Gate passing table (GSC403) is stored in the database (GSC4). Further, if there is data relating to gate passage, it can be added to the Gate passage table (GSC403).
- FIG. 19 is a diagram showing an example of the base station reliability list (GSC 404) according to this embodiment. Whether or not a trouble has occurred in the base station (BS) can be grasped by counting the base stations used in the analysis with high reliability.
- the base station reliability list (GSC404) is a summary of whether the base station (BS) used in the analysis with the highest reliability and the base station (BS) used in the analysis with the lowest reliability are used. It is.
- the base station reliability list includes time (GSC4041), a high reliability base station (GSC4042), and a low reliability base station (GSC4043) as configuration information.
- Time (GSC4041) indicates the time used in time (GSO1101) (see FIG. 13).
- the high-reliability base station indicates the information of the base station used in the first reliability (GSO1103).
- a highly reliable base station is calculated
- a highly reliable base station can be obtained by voting a vote for the base station with the base station ID.
- BS-ID01 (GSC40421), BS-ID02 (GSC40422), BS-ID03 (GSC40423) ... are listed as high reliability base stations (GSC4042), The number of times each base station appears when the first reliability (GSO1103) is acquired is shown.
- the low reliability base station indicates the information of the base stations used in the order of lowest reliability.
- the low reliability base station is also required in the same manner as the high reliability base station (GSC4042).
- BS-ID01 (GSC40431), BS-ID02 (GSC40432), BS-ID03 (GSC40433) ... are listed as low-reliability base stations (GSC4043), The number of times of appearance for each base station when the ranking with the lowest reliability is acquired is shown.
- the base station reliability list (GSC404) data is stored in the database (GSC4). Further, if there is data related to the reliability of the base station, it can be added to the base station reliability list (GSC 404).
- FIG. 20 is a flowchart for explaining the number / trajectory display processing executed by the display unit (GSC2) of the number / trajectory display system (GSC) according to the present embodiment.
- Step GSC201 Extraction Processing
- the display unit (GSC2) performs processing for extracting data necessary for display (GSC202) from the database (GSC4) and the database (GSO1).
- the number of passing gates and the base station reliability are particularly required.
- the display unit obtains the number of passing gates from the adjusted trajectory data (GSO111) (see FIG. 14) and the gate list (GSC401) (see FIG. 16).
- the locus specified by the start point X coordinate (GSO1113), start point Y coordinate (GSO1114), end point X coordinate (GSO1116), and end point Y coordinate (GSO1117) of the adjusted locus data (GSO111) By checking the gate position specified by the start point X coordinate (GSC4013), start point Y coordinate (GSC4014), end point X coordinate (GSC4015), and end point Y coordinate (GSC4016), the number of people passing through the gate is obtained. The result of the number of passing gates is stored in the Gate passing table (GSC403).
- the display unit obtains the base station reliability from the reliability-specific number list (GSO110) (see FIG. 13) and the measurement condition list (GSO105) (see FIG. 7). Specifically, the measurement conditions used in the first rank of reliability (GSO1103) and the lowest reliability rank are specified from the measurement condition ID list (GSO11033) (see FIG. 13). Next, the measurement condition is checked against the measurement condition list (GSO105) (see FIG. 7), and information on the effective base station ID (GSO1059) corresponding to each rank is acquired. Then, by counting (voting) the number of base stations of the base station ID, information on the high reliability base station and the low reliability base station can be obtained. The base station reliability result is stored in the base station reliability list (GSC 404).
- Step GSC202 Display Processing The display unit (GSC2) aggregates and displays data based on the time specified in the display time specification list (GSC402). In particular, in the display process (GSC202), the person trajectory, the number of people passing through the gate, and the base station reliability are displayed.
- the display unit obtains a human locus using the adjusted locus data (GSO111) (see FIG. 14) and the display time designation list (GSC402) (see FIG. 17). draw. Specifically, the start time (GSO1112) and end time (GSO1115) of the adjusted trajectory data (GSO111) are compared with the specified period specified in the display time specification list (GSO111), and the trajectory included in the specified period is Extracted and displayed.
- the display unit uses the display time designation list (GSC402) (see FIG. 17) and the gate passage table (GSC403) (see FIG. 18) to show the number of people passing through the gate. Find and draw. Specifically, the specified time specified in the display time specification list (GSC402) is compared with the time (GSC4031) in the Gate passage table (GSC403), and each Gate passes at the time (GSC4031) included in the specified period. The number of people is calculated and displayed.
- the display unit (GSC2) uses the display time designation list (GSC402) (see FIG. 17) and the base station reliability list (GSC404) (see FIG. 19) Summarize and draw base station reliability at. More specifically, the specified period specified in the display time specification list (GSC402) is compared with the time (GSC4041) in the base station reliability list (GSC404), and the base at the time (GSC4041) included in the specified period Station reliability information is required. In this case, the reliability of the base station is output (displayed) as a highly reliable base station, for example, if it is determined that the reliability is high even once in the specified period (if it is counted even once in FIG. 19). ). Since data obtained from the database (GSC4) and the database (GSO1) can be displayed, other data may be extracted and displayed.
- the measurement conditions (the areas that can be measured are different depending on each combination) composed of various combinations of physically different base stations (BS) (the effective base station IDs included differ depending on the measurement conditions). Is used to determine the number of persons based on measurement data obtained from at least a part of each measurement condition.
- the present disclosure may use not only such physically different combinations but also combinations of base stations (BS) having different system activation times.
- a plurality (N) of measurement processing units (GSO2) and trajectory coordinate extraction units (GSO3) are prepared in the number of people / trajectory extraction system (GSO) of the mobile object measurement system (GS). Then, the mobile measurement system (GS) receives each of the data (N sets of data) measured by each base station (BS) at a predetermined time difference (for example, 5 seconds), and N sets of the N sets of data are received.
- the trusted number / trajectory extraction unit (GSO4) performs a voting process on the number of people obtained from N sets of data (each set of measurement data is independent of other sets of measurement data and independent). The number of people with the highest occupation rate is output as the final number of people (reliable result).
- a plurality of combinations (measurement conditions) of measurement devices configured using at least a part of a plurality of measurement devices (base stations (BS)) are determined in advance.
- the number of persons corresponding to each of the corresponding measurement conditions is based on data measured according to at least some of the combinations (several measurement conditions).
- the number of candidates is calculated, and the final number of persons is specified based on the number of candidates. Specifically, voting processing is performed on the number of candidates, and the number of candidates with the highest occupation ratio is determined as the final number of people. Further, the final number of persons determined is output. By doing so, it is possible to accurately count the number of persons existing in a predetermined area.
- the position of the object is calculated based on measurement data from a plurality of measurement devices, the combination of measurement devices that can measure the position is specified, and the number of candidates in the combination is determined. calculate.
- a plurality of such combinations are specified. Also, this combination varies as the person moves. For this reason, unlike the case where people are counted from measurement data obtained only from the conventional fixed base station arrangement pattern, the number of persons does not propagate to the next measurement without an error that has occurred once. Can be specified.
- the mobile body measurement system responds to an instruction including information on a period and a place where the number of persons should be counted, which is a display instruction input by an administrator using a client. Display the final number of people on the screen. By doing in this way, the manager can know the exact number of people in a desired place in a desired period.
- the mobile measurement system positions the base station included in the measurement condition that provides the candidate number with the highest occupation ratio as a highly reliable base station, and the reliability is high along with the final number of persons.
- Information on the positioned base station (base station reliability: information indicating, for example, the ratio of base stations with high reliability or whether the reliability of each base station is high) is displayed on the screen. In this way, it is possible to estimate how reliable the displayed number information is from the base station reliability information.
- the mobile body measurement system calculates a person's trajectory (start point coordinates and end point coordinates at a predetermined time) based on measurement data from the base station, and displays the trajectory on a map representing the area to be counted. To do. By doing in this way, it becomes possible to know each person's movement together with the number of persons in the area.
- the present disclosure can also be realized by a program code of software that realizes the functions of the embodiments.
- a storage medium in which the program code is recorded is provided to the system or apparatus, and the computer (or CPU or MPU) of the system or apparatus reads the program code stored in the storage medium.
- the program code itself read from the storage medium realizes the functions of the above-described embodiments, and the program code itself and the storage medium storing the program code constitute the present disclosure.
- a storage medium for supplying such program code for example, a flexible disk, CD-ROM, DVD-ROM, hard disk, optical disk, magneto-optical disk, CD-R, magnetic tape, nonvolatile memory card, ROM Etc. are used.
- an OS operating system
- the computer CPU or the like performs part or all of the actual processing based on the instruction of the program code.
- the program code is stored in a storage means such as a hard disk or a memory of a system or apparatus, or a storage medium such as a CD-RW or CD-R
- the computer (or CPU or MPU) of the system or apparatus may read and execute the program code stored in the storage means or the storage medium when used.
- control lines and information lines are those that are considered necessary for the explanation, and not all control lines and information lines on the product are necessarily shown. All the components may be connected to each other.
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Abstract
Description
本開示はこの点に鑑みてなされたものであり、人物の数に関して信頼度の高い結果を出力し、誤検出を低下させるための技術を提供するものである。
本明細書の記述は典型的な例示に過ぎず、本開示の請求の範囲又は適用例を如何なる意味に於いても限定するものではないことを理解する必要がある。
図1は、本開示の実施形態による情報管理システムの概略構成例を示す図である。当該情報管理システムは、経営者(US)が操作するクライアント装置(CL)と、複数の基地局(BS)と、移動体計測システム(GS)と、を備え、これらがネットワーク(NW)を介して接続されている。
図2は、本実施形態による情報管理システムにおいて、経営者(US)が所定の施設にいる人物がどのくらい滞在しているかを確認するまでの処理を示すシーケンス図である。このシーケンス図は、基地局(BS)、人数・軌跡抽出システム(GSO)、人数・軌跡表示システム(GSC)、及びクライアント装置(CL)における処理のシーケンスを示している。
経営者(US)がクライアント装置(CL)を用いて、所定の施設内の人物(人数)を確認したい場所や、時刻・期間の指定を行う。クライアント装置(CL)は、指定した結果(入力された要求)を人数・軌跡表示システム(GSC)の要求部(GSC1)に送る。
要求部(GSC1)は、クライアント装置(CL)から受信した指示(要求)を受信し、当該要求を表示に関する要求(コマンド)と、計測に関する要求(コマンドや条件)を切り分け、それぞれをデータベース(GSC4)及びデータベース(GSO1)に送信する。
要求部(GSC1)からの表示に関する要求は、データベース(GSC4)に格納される(登録(GSC41))。これによりクライアント(CL)からどのような要求が出されていたかの情報(要求履歴)をデータベースに格納し、管理することが可能となる。
要求部(GSC1)からの計測に関する要求は、データベース(GSO1)に格納される(登録(GSO11))。当該要求に含まれる条件は、例えば計測開始日時、スキャンスピード、スキャン頻度、計測範囲(スキャン範囲)等を特定するための情報である。
基地局(BS)は、登録(GSC11)によって登録された条件を移動体計測システム(GS)から取得し、それに基づいて空間をスキャンする(スキャン(BS1))。
計測処理部(GSO2)は、基地局(BS)からのスキャン(BS1)によって得られたセンサデータから計測条件リスト(GSO105)に基づき、有効な基地局(BS)を特定し、どの基地局(BS)の計測データを用いるか決定する(基地局の抽出)。その結果は、データベース(GSO1)に登録される(登録(GSO12))。
軌跡座標抽出部(GSO3)は、計測処理部(GSO2)で特定された基地局(BS)の計測データから人物が滞在している座標を求める処理を行う。その結果は、データベース(GSO1)に登録される(登録(GSO12))。
信頼人数・軌跡抽出部(GSO4)は、複数の計測結果(後述する主キーの計測条件、及びその他の計測条件によって計測された計測データ)を用いて投票処理を実行し、計測データの信頼度を求める。また、信頼人数・軌跡抽出部(GSO4)は、信頼度の高い計測結果を用いて、人物が滞在している座標を求める処理を行う。その結果は、データベース(GSO1)に登録される(登録(GSO12))。
表示部(GSC2)は、人数・軌跡抽出システム(GSO)から送られてきた結果と表示に必要な特徴量が格納されているデータベース(GSC4)の登録内容(登録(GSC41))を用いて、表示画面を生成する処理し、当該表示画面のデータをクライアント(CL)及びデータベース(GSC4)に送信する。
生成された表示画面のデータは、データベース(GSC4)に登録される(登録(GSC42))。
クライアント装置(CL)は、移動体計測システム(GS)から表示部(GSC2)が生成した表示画面のデータを受信し、クライアント装置(CL)の表示画面に表示する(出力(CL2))。
図3は、本実施形態による、建物内部における基地局の配置例を示す図である。建物の内部構造の関係を明らかにするための1例が図3のマップ(GSO101)である。
図4は、本実施形態による有効エリア判定表(GSO102)の例を示す図である。有効エリア判定表(GSO102)の情報は、図3に対応して生成されるものである。マップ(GSO101)(図3参照)は建物の内部構造を示したものであるが、実際に軌跡を求める際には、移動の有無を座標単位で求めることが必要である。それを対応表としてまとめたものの1例が有効エリア判定表(GSO102)の情報である。マップ(GSO101)と有効エリア判定表(GSO102)は、1対1で対応している。
図5は、本実施形態による基地局設置リスト(GSO103)の例を示す図である。人物の移動や軌跡を計測するための基地局(BS)をマップ(GSO101)に表現するための情報が必要である。その情報をまとめたものの1例が図5の基地局設置リスト(GSO103)である。
図6は、本実施形態による軌跡抽出エリア対応表(GSO104)の例を示す図である。物体を検知した時の座標とその対象となる計測エリアとの対応表を用いることで、計測エリアの分解能を変更した時、対応表のみを修正すればよいので効率がよい。そのリストの1例が図6の軌跡抽出エリア対応表(GSO104)である。
この軌跡抽出エリア対応表(GSO104)は、当該表で表される計測エリアに重複がないことが望ましい。
図7は、本実施形態による計測条件リスト(GSO105)の例を示す図である。1台以上の基地局を用いて計測できる条件をまとめておくと管理が容易になる。その計測条件をまとめたものの1例が図7の計測条件リスト(GSO105)である。
図9は、本実施形態における、設置された基地局が検知したセンサデータ(計測した物体の情報)の例を示す図である。
図10は、図9のセンサデータに基づいて生成された軌跡データの例を示す図である。センサデータ(GSO106)から軌跡データ(GSO107)を生成する流れを簡単に説明すると、軌跡座標抽出部(GSO3)は、まず、計測条件リスト(GSO105)の計測条件ID(GSO1051)に記載されている有効基地局ID(GSO1059)の基地局からのセンサデータ(図9)から物体(人物)を抽出する(物体の中心座標と物体の大きさを求める)。そして、軌跡座標抽出部(GSO3)は、検出された物体の所定時間内における動きの変化から物体の軌跡を算出する(物体の中心座標、物体の大きさ、及び物体の速さを求める)。当該算出された物体の軌跡が軌跡データ(GSO107)に格納される。なお、図10の例では、それぞれの時刻(開始時刻が2014.08.21の19:45:00 000と同日の19:45:01 000)において、計測条件ME-ID02に関しては2つの物体軌跡が抽出され、その他の計測条件に関しては1つの物体軌跡が抽出されている。
図11は、本実施形態による計測条件候補リスト(GSO108)の例を示す図である。計測条件候補リスト(GSO108)は、軌跡データ(GSO107)の主キー(GSO1072)で抽出された物体の座標から軌跡抽出エリアID(GSO1041)を導き、その抽出エリアをサポートする複数の計測条件を抽出することによって得られる情報を格納する。計測条件候補リスト(GSO108)は、複数の計測条件を用いて検出物体の数を分析するために必要である。
図12は、本実施形態による計測条件別計測人数リスト(GSO109)の例を示す図である。計測条件別計測人数リスト(GSO109)は、計測条件候補リスト(GSO108)で求めた計測条件と計測エリアからそれぞれ人数を求めた結果を格納するためのリストである。
図13は、本実施形態による信頼度別人数リスト(GSO110)の例を示す図である。計測条件別計測人数リスト(GSO109)では、計測条件毎に人数を求めたが、その人数から信頼度を求めることで、精度の高い抽出結果になる。そこで、本実施形・BR>ヤでは、計測条件別計測人数リスト(GSO109)(図12)から信頼度別人数リスト(GSO110)を生成し、人数毎の信頼度をまとめることとしている。
信頼度別人数リスト(GSO110)では、抽出された「人数」の数のカラムが生成される。
図14は、本実施形態による調整済み軌跡データ(GSO111)の例を示す図である。調整済み軌跡データ(GSO111)は、信頼度別人数リスト(GSO110)の中で、一番高い信頼度の結果を用いて求めた軌跡データを示している。
個体ID(GSO1111)は、検出対象の物体を識別するための情報である。時刻(GSO1112)は、当該物体を検出した時刻を示している。
図15は、人数・軌跡抽出システム(GSO)の信頼人数・軌跡抽出部(GSO4)が実行する信頼人数・軌跡抽出処理を説明するためのフローチャートである。以下に説明する信頼人数・軌跡抽出処理においてはある1つの環境下で抽出した軌跡座標を複数の環境下で計測した結果と比較することで信頼度を求めることにより、精度の高い軌跡を求めることができる様になる。
信頼人数・軌跡抽出部(GSO4)は、大量にある計測条件(図7参照)から軌跡データ(図10参照)に合わせて計測条件を選び出す。具体的には、信頼人数・軌跡抽出部(GSO4)は、軌跡データ(GSO107)の主キー(GSO1072)の軌跡座標(始点X座標(GSO1075)、始点Y座標(GSO1076))と軌跡抽出エリア対応表(GSO104)から計測対象となる軌跡抽出エリアID(GSO1041)を求め、計測条件リスト(GSO105)の中から候補となる計測条件の絞り込みを行う。そして、信頼人数・軌跡抽出部(GSO4)は、その結果を計測条件候補リスト(GSO108)(図11参照)に格納する。
信頼人数・軌跡抽出部(GSO4)は、複数の候補計測条件からそれぞれの人数を算出する。具体的には、信頼人数・軌跡抽出部(GSO4)は、軌跡データ(GSO107)の中から、計測条件候補リスト(GSO108)に該当するデータを抽出し、計測条件毎に人数を抽出する。そして、信頼人数・軌跡抽出部(GSO4)は、その結果を計測条件別計測人数リスト(GSO109)に格納する。
信頼人数・軌跡抽出部(GSO4)は、複数の候補計測条件から求めた人数(ステップGSO402で抽出された人数)の情報を用いて、人数別の信頼度を求める。具体的には、信頼人数・軌跡抽出部(GSO4)は、計測条件別計測人数リスト(GSO109)で同じ人数を示す計測条件を投票することにより、人数別の信頼度を抽出する。つまり、検知された全体の「人数」情報の種類(例えば、1名、2名、3名、・・・)における各「人数」の占める割合(例えば、1名:70%、2名:20%、3名:10%)が算出される。そして、信頼人数・軌跡抽出部(GSO4)は、その結果を信頼度別人数リスト(GSO110)(図13参照)に格納する。
信頼人数・軌跡抽出部(GSO4)は、信頼度別人数リスト(GSO110)(図13参照)の中から信頼度1位(GSO1103)の計測結果を用いて軌跡データを生成する。これにより、信頼度の高い情報が得られる。そして、信頼人数・軌跡抽出部(GSO4)は、その結果を調整済み軌跡データ(GSO111)(図14参照)に格納する。
図16は、本実施形態によるGateリスト(GSC401)の例を示す図である。Gateリスト(GSC401)は、表示部(GSC2)での表示で必要なゲートの通過人数を求めるために用いられるゲートの位置を示す情報である。
図17は、本実施形態による表示時刻指定リスト(GSC402)の例を示す図である。表示時刻指定リスト(GSC402)は、表示部(GSC2)での表示で必要な可視化する時間を指定するために用いられる時刻を示す情報である。
図18は、本実施形態によるGate通過テーブル(GSC403)の例を示す図である。Gate通過テーブル(GSC403)は、ゲート毎に通過した人数を表示するために用いられる、通過した時刻とゲートを示したデータを示す情報である。調整済み軌跡データ(GSO111)(図14参照)とGateリスト(GSC401)(図16参照)からゲート毎に通過した人数をカウントし、その通過時刻と通過人数がGate通過テーブル(GSC403)に格納される。
図19は、本実施形態による基地局信頼度リスト(GSC404)の例を示す図である。基地局(BS)でトラブルが生じているか否かは、信頼度の高い分析で用いた基地局をカウントすることにより把握することができる。当該基地局信頼度リスト(GSC404)は、信頼度が一番高い分析で用いた基地局(BS)と信頼度が一番低い分析で用いた基地局(BS)での使用有無をまとめたものである。
時刻(GSC4041)は、時刻(GSO1101)(図13参照)で用いた時刻を示している。
図20は、本実施形態による人数・軌跡表示システム(GSC)の表示部(GSC2)が実行する人数・軌跡表示処理を説明するためのフローチャートである。
表示部(GSC2)は、データベース(GSC4)とデータベース(GSO1)から表示(GSC202)に必要なデータを抽出する処理を行う。当該抽出(GSC201)の処理では、特に、ゲート通過人数と基地局信頼度が求められる。
表示部(GSC2)は、調整済み軌跡データ(GSO111)(図14参照)及びGateリスト(GSC401)(図16参照)からゲート通過人数を求める。具体的には、調整済み軌跡データ(GSO111)の始点X座標(GSO1113)、始点Y座標(GSO1114)、終点X座標(GSO1116)、及び終点Y座標(GSO1117)で特定される軌跡と、Gateの始点X座標(GSC4013)、始点Y座標(GSC4014)、終点X座標(GSC4015)、及び終点Y座標(GSC4016)で特定されるGateの位置とを照合することにより、ゲート通過人数が求められる。ゲート通過人数の結果は、Gate通過テーブル(GSC403)に格納される。
表示部(GSC2)は、信頼度別人数リスト(GSO110)(図13参照)及び計測条件リスト(GSO105)(図7参照)から基地局信頼度を求める。具体的には、計測条件IDリスト(GSO11033)(図13参照)から信頼度1位(GSO1103)及び最低信頼度順位で用いられたそれぞれ計測条件を特定する。次に、当該計測条件を計測条件リスト(GSO105)(図7参照)と照合してそれぞれの順位に対応する有効基地局ID(GSO1059)の情報を取得する。そして、当該基地局IDの基地局の数をそれぞれカウントする(投票する)ことにより、高信頼度基地局及び低信頼度基地局の情報を得ることができる。基地局信頼度の結果は、基地局信頼度リスト(GSC404)に格納される。
表示部(GSC2)は、表示時刻指定リスト(GSC402)で指定した時間を基に、データを集計し表示を行う。特に、当該表示処理(GSC202)では、人物軌跡、ゲート通過人数、及び基地局信頼度が表示される。
表示部(GSC2)は、調整済み軌跡データ(GSO111)(図14参照)、及び表示時刻指定リスト(GSC402)(図17参照)を用いて人物軌跡を求め、描画する。具体的には、調整済み軌跡データ(GSO111)の始点時刻(GSO1112)及び終点時刻(GSO1115)と表示時刻指定リスト(GSO111)で特定される指定期間を照合し、当該指定期間に含まれる軌跡が抽出され、表示される。
表示部(GSC2)は、表示時刻指定リスト(GSC402)(図17参照)及びGate通過テーブル(GSC403)(図18参照)を用いて該当ゲートの通過人数を求め、描画する。具体的には、表示時刻指定リスト(GSC402)で特定される指定時間とGate通過テーブル(GSC403)の時刻(GSC4031)とを照合し、当該指定期間に含まれる時刻(GSC4031)における各Gateの通過人数が算出され、表示される。
表示部(GSC2)は、表示時刻指定リスト(GSC402)(図17参照)及び基地局信頼度リスト(GSC404)(図19参照)を用いて、該当期間での基地局信頼度をまとめ、描画する。より具体的には、表示時刻指定リスト(GSC402)で特定される指定期間と基地局信頼度リスト(GSC404)の時刻(GSC4041)とを照合し、当該指定期間に含まれる時刻(GSC4041)における基地局の信頼度の情報が求められる。この場合、基地局の信頼度は、例えば、当該指定期間に1回でも信頼度が高いと判断されれば(図19において1回でもカウントされれば)信頼度が高い基地局として出力(表示)されるようにしても良い。
なお、データベース(GSC4)及びデータベース(GSO1)から求めたデータを表示することができるため、この他のデータを抽出して表示しても良い。
上述の実施形態では、物理的に異なる基地局(BS)の様々な組み合わせ(含まれる有効基地局IDが計測条件で異なる)で構成される計測条件(各組み合わせによって計測できる領域が異なっている)を用いて各計測条件の少なくとも一部から得られる計測データに基づいて人物の数を決定している。本開示はこのような物理的に異なる組み合わせだけでなく、システム起動の時間が異なる基地局(BS)の組み合わせを用いても良い。
(i)本実施形態では、複数の計測機器(基地局(BS))のうち少なくとも一部を用いて構成される、計測機器の複数の組み合わせ(計測条件)が予め決められている。そして、移動体計測システム(GS)では、複数の組み合わせの少なくとも一部(いくつかの計測条件)のそれぞれに従って計測されたデータに基づいて、該当する計測条件のそれぞれに対応する人物の数である候補人数が算出され、その候補人数に基づいて最終的な人物の数が特定される。具体的には、候補人数に対して投票処理を行い、最も占有率の高い候補人数が最終的な人物の数として決定される。さらに、当該決定された最終的な人物の数が出力される。このようにすることにより、精度よく所定の領域に存在する人物の数をカウントすることが可能となる。
Claims (14)
- 計測対象の領域における人物の数を特定する移動体計測システムであって、
前記人物の数を特定するための各種プログラムを格納する記憶装置と、
前記記憶装置から前記各種プログラムを読み込み、前記領域に設置された複数の計測機器から受信した計測データを処理して前記人物の数を特定するプロセッサと、を有し、
前記複数の計測機器のうち少なくとも一部を用いて構成される、計測機器の複数の組み合わせが予め決められており、
前記プロセッサは、
前記複数の組み合わせの少なくとも一部の組み合わせに含まれる各計測機器からの前記計測データに基づいて、前記少なくとも一部の組み合わせのそれぞれに対応する人物の数を候補人数として算出する処理と、
前記候補人数に基づいて、最終的な人物の数を特定する処理と、
前記最終的な人物の数を出力する処理と、
を実行する、移動体計測システム。 - 請求項1において、
前記プロセッサは、前記最終的な人物の数を特定する処理では、前記組み合わせのそれぞれから得られる前記候補人数に対して投票処理を行い、最も占有率の高い前記候補人数を前記最終的な人物の数とする、移動体計測システム。 - 請求項1において、
前記プロセッサは、前記候補人数を算出する処理では、
前記複数の計測機器からの計測データに基づいて物体の位置を算出する処理と、
前記算出された位置を計測することが可能な前記計測機器の前記組み合わせを特定する処理と、
前記特定された前記組み合わせにおける前記候補人数を算出する処理と、
を実行する、移動体計測システム。 - 請求項2において、
情報表示のためのプログラムに従って、前記最終的な人物の数の情報を表示装置の画面上に表示するプロセッサを含み、
前記表示するプロセッサは、入力される指示であって、前記人物の数をカウントすべき期間と場所の情報を含む指示に応答して、前記期間と場所の前記最終的な人物の数を前記画面上に表示する、移動体計測システム。 - 請求項4において、
前記人物の数を特定するプロセッサは、前記最も占有率の高い前記候補人数を提供する前記少なくとも一部の組み合わせに含まれる前記計測機器を信頼度が高い計測機器として位置づけ、
前記表示するプロセッサは、前記最終的な人物の数とともに、当該信頼度が高いと位置づけられた計測機器に関する情報を前記画面上に表示する、移動体計測システム。 - 請求項4において、
前記人物の数を特定するプロセッサは、前記少なくとも一部の組み合わせからの計測データに基づいて前記人物の軌跡を算出し、
前記表示するプロセッサは、前記領域を表すマップを前記画面上に表示すると共に、前記軌跡を前記マップの上に表示する、移動体計測システム。 - 請求項2において、
前記プロセッサは、入力される指示であって、前記人物の数をカウントすべき期間と場所の情報を含む指示に応答して、前記期間と場所の前記最終的な人物の数を表示装置の画面上に表示する、移動体計測システム。 - 請求項7において、
前記プロセッサは、さらに、
前記最も占有率の高い前記候補人数を提供する前記少なくとも一部の組み合わせに含まれる前記計測機器を信頼度が高い計測機器として位置づける処理と、
前記最終的な人物の数とともに、当該信頼度が高いと位置づけられた計測機器に関する情報を前記画面上に表示する処理と、
を実行する移動体計測システム。 - 請求項7において、
前記プロセッサは、
前記少なくとも一部の組み合わせからの計測データに基づいて前記人物の軌跡を算出する処理と、
前記領域を表すマップを前記画面上に表示すると共に、前記軌跡を前記マップの上に表示する処理と、
を実行する、移動体計測システム。 - 計測対象の領域における人物の数を特定する方法であって、
プロセッサが、記憶装置から、複数の計測機器のうち少なくとも一部を用いて構成される、予め決められた計測機器の複数の組み合わせを読み込むことと、
前記プロセッサが、前記複数の組み合わせの少なくとも一部の組み合わせに含まれる各計測機器からの計測データに基づいて、前記少なくとも一部の組み合わせのそれぞれに対応する人物の数を候補人数として算出することと、
前記プロセッサが、前記候補人数に基づいて、最終的な人物の数を特定することと、
前記プロセッサが、前記最終的な人物の数を出力することと、
を含む、方法。 - 請求項10において、
前記最終的な人物の数を特定することは、前記プロセッサが、前記組み合わせのそれぞれから得られる前記候補人数に対して投票処理を行い、最も占有率の高い前記候補人数を前記最終的な人物の数とすることを含む、方法。 - 請求項10において、
前記候補人数を算出することは、
前記プロセッサが、前記複数の計測機器からの計測データに基づいて物体の位置を算出することと、
前記プロセッサが、前記算出された位置を計測することが可能な前記計測機器の前記組み合わせを特定することと、
前記プロセッサが、前記特定された前記組み合わせにおける前記候補人数を算出することと、
を含む、方法。 - 請求項11において、さらに、
前記プロセッサが、入力される指示であって、前記人物の数をカウントすべき期間と場所の情報を含む指示に応答して、前記期間と場所の前記最終的な人物の数を表示装置の画面上に表示することを含む、方法。 - 請求項13において、
前記プロセッサが、前記少なくとも一部の組み合わせからの計測データに基づいて前記人物の軌跡を算出することと、
前記プロセッサが、前記領域を表すマップを前記画面上に表示すると共に、前記軌跡を前記マップの上に表示することと、
を含む、方法。
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US16/070,571 US20210056793A1 (en) | 2016-01-18 | 2016-12-21 | Mobile object measurement system and method of determining number of people in measurement area |
KR1020177036229A KR102069963B1 (ko) | 2016-01-18 | 2016-12-21 | 이동체 계측 시스템, 및 계측 대상의 영역에 있어서의 인물의 수를 특정하는 방법 |
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JP7220373B2 (ja) * | 2018-06-28 | 2023-02-10 | パナソニックIpマネジメント株式会社 | ゲート装置及びシステム |
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KR102069963B1 (ko) | 2020-01-23 |
JP6754574B2 (ja) | 2020-09-16 |
JP2017129376A (ja) | 2017-07-27 |
KR20180008698A (ko) | 2018-01-24 |
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