WO2023127101A1 - Passenger data generation device, passenger data generation method, and program - Google Patents

Passenger data generation device, passenger data generation method, and program Download PDF

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Publication number
WO2023127101A1
WO2023127101A1 PCT/JP2021/048799 JP2021048799W WO2023127101A1 WO 2023127101 A1 WO2023127101 A1 WO 2023127101A1 JP 2021048799 W JP2021048799 W JP 2021048799W WO 2023127101 A1 WO2023127101 A1 WO 2023127101A1
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passenger
data
boarding
data generation
generation device
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PCT/JP2021/048799
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French (fr)
Japanese (ja)
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明久 須藤
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日本電気株式会社
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Priority to PCT/JP2021/048799 priority Critical patent/WO2023127101A1/en
Publication of WO2023127101A1 publication Critical patent/WO2023127101A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry

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  • the present invention relates to a passenger data generation device, a passenger data generation method, and a program.
  • Patent Document 1 describes a technique for identifying the boarding and alighting stops for bus passengers by image processing.
  • the bus is equipped with a boarding camera and a boarding camera.
  • the facial features of the passenger read by the boarding camera, the boarding stop at that time, and the boarding time are stored in the storage device as boarding data.
  • the main processing unit acquires the passenger's face feature value read by the getting-off camera, the current getting-off stop, and the getting-off time as getting-off data, and compares the getting-on data with the getting-off data. Verify the person based on the comparison result.
  • Patent Document 2 when getting on and off a bus, a magnetic bus card, a numbered ticket with an IC tag, or a commuter pass with an IC tag used by a user is read, and the reading result is used for each user and/or for each stop. It is described that the boarding/alighting status of the passenger is analyzed and processed.
  • An object of the present invention is to generate data including attributes of passengers for each boarding section with little effort and to store the data in a storage means.
  • boarding section data indicating a boarding section of a passenger of the mobile body and attributes indicating attributes of the passenger are processed by processing images obtained by photographing at least one of the entrance and the interior of the mobile body.
  • a passenger data generator is provided comprising:
  • a computer is configured to: By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. image processing to a storage process of storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger; A passenger data generation method is provided for performing
  • the computer is configured to: By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. and an image processing function that a storage processing function for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
  • a program is provided to have a
  • data including attributes of passengers for each boarding section can be generated with little effort and stored in the storage means.
  • FIG. 1 is a diagram for explaining the operating environment of a passenger data generation device 10 according to this embodiment.
  • the passenger data generating device 10 is located outside the moving body 20, specifies the boarding position and the getting off position of the passenger of the moving body 20, and the attribute of the passenger, associates these data with each other, and stores them in a storage unit to be described later. Store in 150.
  • the moving body 20 is, for example, public transportation such as a bus, a train, and a tram. If the moving body 20 is a bus, the boarding position and the alighting position are stops. Also, if the moving body 20 is a train, the boarding position and the alighting position are stations.
  • An imaging device 30 and a communication device 40 are attached to the moving object 20 .
  • the imaging device 30 photographs the inside of the moving body 20 and generates a plurality of frame images.
  • the frame rate of these frame images is, for example, 1 fps (frames per second) or more, but may be less than this. Also, this frame rate is, for example, 20 fps or less, but may be 20 fps or more.
  • the installation positions and the number of installed imaging devices 30 in the moving body 20 are various.
  • the imaging device 30 is installed at least at each of the boarding gate and the boarding gate.
  • the imaging device 30 is installed at least at this boarding gate.
  • the imaging device 30 may be installed above at least one of the aisles and seats inside the moving body 20 .
  • the imaging device 30 is installed for each of the plurality of vehicles.
  • the communication device 40 transmits the image generated by the imaging device 30 to the passenger data generation device 10.
  • This image includes the date and time when the image was generated in addition to the image itself.
  • the timing at which the communication device 40 transmits images varies.
  • the communication device 40 may transmit the images to the passenger data generation device 10 in real time, or may store the images until reaching the end point, and collect these images after arriving at the end point and send them to the passenger data generation device 10.
  • the images may be collectively sent to the passenger data generation device 10 at regular time intervals.
  • the communication device 40 also transmits to the passenger data generation device 10 data indicating the stop date and time for each stop position.
  • This data is hereinafter referred to as stop data.
  • communication device 40 may generate stop data using the GPS function. Further, the communication device 40 may acquire stop data from a device that stores operation results of the mobile body 20, for example.
  • the communication device 40 may acquire stop data from this voice guidance device.
  • the stop position may be announced in the in-vehicle announcement of the moving body 20 . In this case, if the communication device 40 has a voice recognition function, the communication device 40 can also generate stop data using the result of voice recognition of the in-vehicle announcement of the moving body 20 .
  • the image sent to the passenger data generation device 10 is deleted from the communication device 40.
  • FIG. 2 is a diagram showing an example of the functional configuration of the passenger data generation device 10.
  • the passenger data generation device 10 has an acquisition unit 110, an image processing unit 120, a storage processing unit 130, and a statistical processing unit 140, and a storage unit 150 can be used.
  • the storage unit 150 is a part of the passenger data generation device 10, but may be located outside the passenger data generation device 10.
  • the acquisition unit 110 acquires image data and stop data from the communication device 40 and stores these data in the storage unit 150 .
  • the image processing unit 120 acquires image data and stop data stored in the storage unit 150, and uses these data to generate boarding section data for each of a plurality of passengers.
  • the boarding section data includes the boarding position and alighting position of the passenger.
  • the storage processing unit 130 causes the storage unit 150 to store the boarding section data.
  • a specific example of the processing performed by the image processing unit 120 and the storage processing unit 130 is as follows.
  • the entrance and exit of the moving body 20 are different from each other.
  • the imaging device 30 is installed at each of the entrance and the exit.
  • the timing at which the imaging device 30 generates the moving image is, for example, while the moving object 20 is stopped at the stop position, for example, while the entrance door is open.
  • the image processing unit 120 identifies, among the images generated by the imaging device 30, images generated at the date and time indicated by the stop data. This image is an image generated by the imaging device 30 while the moving body 20 is stopped at the stop position. Normally, the images specified here are a plurality of frame images.
  • the image processing unit 120 processes the image generated by the imaging device 30 installed at the boarding gate among the specified images, thereby obtaining the appearance feature amount, for example, the facial feature amount of the passenger who got on at the stop position. and at least one of the feature values of clothes and belongings.
  • the storage processing unit 130 associates this feature amount with the boarding position, ie, the current stop position, and stores it in the storage unit 150 . At this time, the storage processing unit 130 causes the storage unit 150 to store the date and time when the image was generated as the boarding date and time.
  • the image processing unit 120 also identifies attributes of the passenger by processing a region corresponding to the passenger in the identified image.
  • the storage processing unit 130 stores this attribute in the storage unit 150 in association with the feature amount of the customer.
  • Attributes include, for example, at least one of gender and age group. Attributes may also include possession or use of predetermined objects, such as possession of a white cane or use of a wheelchair. Attributes may also include whether a particular ticket is being used. An example of a specific ticket is a paper ticket, such as a silver pass or a round trip ticket.
  • the image processing unit 120 can identify the timing at which the customer starts moving toward the exit when getting off the vehicle. For example, a certain passenger moves to the exit after the moving body 20 stops. Also, other passengers start moving toward the exit before the moving body 20 stops.
  • the memory processing unit 130 may store this timing, for example, whether the passenger started moving after the vehicle stopped or before the vehicle stopped, as an attribute of the passenger.
  • the image processing unit 120 processes the image generated by the imaging device 30 installed at the exit, among the specified images, to generate the feature amount of the appearance of the passenger who got off at the stop position. Then, the storage processing unit 130 identifies, from among the feature amounts at the boarding position stored in the storage unit 150, a feature amount that matches the feature amount at the exit position generated by the image processing unit 120 this time, and determines the feature amount. , the get-off position, i.e., the current stop position, is linked and stored in the storage unit 150 . At this time, the storage processing unit 130 causes the storage unit 150 to store the date and time when the image was generated as the date and time of getting off the vehicle.
  • the image processing unit 120 may identify the attributes of the passenger by processing the image when the passenger gets off.
  • the storage processing unit 130 causes the storage unit 150 to store this attribute.
  • the image processing unit 120 may or may not specify the attributes of the passengers from the image when the passengers board the vehicle.
  • the boarding gate of the moving body 20 also serves as the boarding gate.
  • the imaging device 30 is installed at the boarding gate and generates a moving image.
  • the timing at which the imaging device 30 generates the moving image is, for example, while the moving object 20 is stopped at the stop position, for example, while the entrance door is open.
  • the image processing unit 120 identifies the moving image generated by the imaging device 30 while the moving body 20 is stopped at the stop position. Then, the image processing unit 120 identifies the moving direction of the passenger by processing the identified moving image. Thereby, the image processing unit 120 identifies whether the passenger is getting on the moving body 20 or getting off the moving body 20 .
  • At least one imaging device 30 is installed above at least one of the aisles and seats in the mobile body 20 and generates moving images.
  • the imaging device 30 constantly generates moving images while the moving body 20 is running.
  • the image processing unit 120 has a human tracking function. Then, the storage processing unit 130 causes the storage unit 150 to store the trajectory of the passenger's movement in the mobile body 20 in association with the feature amount of the passenger. This trajectory also contains time information at each position in the trajectory. Then, the image processing unit 120 identifies the boarding position and the alighting position of each passenger by using the times of the start point (i.e. boarding gate) and the end point (i.e. alighting gate) of the trajectory information and stop data. . The storage processing unit 130 stores the boarding position and the alighting position in the storage unit 150 in association with the feature amount of the passenger.
  • the statistical processing unit 140 statistically processes the data stored in the storage unit 150 to generate passenger statistical data.
  • a specific example of the processing performed by the statistical processing unit 140 is as follows.
  • the statistical processing unit 140 statistically processes the boarding section data for each boarding section and at least one item indicated by the attribute data.
  • the items used for statistical processing are gender, age group, gender and age group, presence or absence of white cane, gender and presence or absence of white cane, gender and use of a specific ticket, and time of getting off by gender and age. However, it is not limited to these. Further, in each of the above examples, "use of wheelchair” may be used instead of "use of white cane”.
  • An example of statistical processing performed by the statistical processing unit 140 is calculation of the number of passengers for each boarding section.
  • the statistical processing unit 140 When the statistical processing unit 140 generates statistical data for each boarding section and for each attribute data, various analyzes can be performed by combining this statistical data with the facilities around the start point or end point of the boarding section. For example, if there is a hospital at the end of the boarding section, the statistical processing unit 140 may calculate the number of passengers by attribute after the reception time of the hospital. By using this data, it is possible to identify items other than hospital visits as purposes of use by passengers using the terminal.
  • the statistical processing unit 140 statistically processes the boarding section data by boarding section and by time (or by day of the week). At this time, the statistical processing unit 140 may further statistically process the boarding section data for each of at least one item indicated by the attribute data. In this example as well, one example of statistical processing performed by the statistical processing unit 140 is calculation of the number of passengers for each boarding section.
  • the statistical processing unit 140 stores the results of statistical processing in the storage unit 150 as necessary.
  • the statistical processing unit 140 may be provided in a device different from the passenger data generation device 10, such as at least one of a server and a terminal.
  • FIG. 3 is a diagram showing an example of the result of processing by the image processing unit 120 among the information stored in the storage unit 150.
  • the image processing unit 120 stores, for each passenger, the attributes of the passenger, the boarding date and time, the boarding position, the alighting date and time, and the alighting position.
  • Passenger attributes include, for example, age, gender, use of a specific ticket type, use of a white cane, and movement timing when stopping.
  • the boarding position and the alighting position are, for example, a bus stop name or a station name, but may be an address or latitude/longitude information.
  • FIG. 3 instead of or in addition to "whether or not a white cane is present", "whether or not a person uses a wheelchair” may be used.
  • the statistical processing unit 140 statistically processes this information to generate various statistical data regarding the passengers of the moving object.
  • FIG. 4 is a diagram showing a hardware configuration example of the passenger data generation device 10. As shown in FIG. Passenger data generation device 10 has bus 1010 , processor 1020 , memory 1030 , storage device 1040 , input/output interface 1050 and network interface 1060 .
  • the bus 1010 is a data transmission path for the processor 1020, the memory 1030, the storage device 1040, the input/output interface 1050, and the network interface 1060 to exchange data with each other.
  • the method of connecting processors 1020 and the like to each other is not limited to bus connection.
  • the processor 1020 is a processor realized by a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or the like.
  • the memory 1030 is a main memory implemented by RAM (Random Access Memory) or the like.
  • the storage device 1040 is a removable medium such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, or an auxiliary storage device realized by a ROM (Read Only Memory).
  • the storage device 1040 stores program modules that implement each function of the passenger data generation device 10 (for example, the acquisition unit 110, the image processing unit 120, the storage processing unit 130, and the statistical processing unit 140). Each function corresponding to the program module is realized by the processor 1020 reading each program module into the memory 1030 and executing it.
  • the storage device 1040 also functions as the storage unit 150 .
  • the input/output interface 1050 is an interface for connecting the passenger data generation device 10 and various input/output devices.
  • the network interface 1060 is an interface for connecting the passenger data generation device 10 to the network.
  • This network is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network).
  • a method for connecting the network interface 1060 to the network may be a wireless connection or a wired connection.
  • Passenger data generation device 10 may communicate with communication device 40 via network interface 1060 .
  • FIG. 5 is a flowchart showing a first example of processing performed by the passenger data generation device 10.
  • FIG. This drawing corresponds to the first processing example or the second processing example of the image processing unit 120 described using FIG.
  • the storage unit 150 stores images generated by the imaging device 30 in advance.
  • the image processing unit 120 reads, from the storage unit 150, a plurality of images generated while the moving body 20 is stopped at the stop position (step S10), and processes the plurality of images to obtain images of the stopped vehicle. Each of the passengers who got on and got off at the position is specified (step S20). Further, the image processing unit 120 identifies the attribute of the passenger who boarded the vehicle at the stop position by processing the plurality of read images (step S30). Then, the storage processing unit 130 causes the storage unit 150 to store each information generated by the image processing unit 120 (step S40).
  • the storage processing unit 130 deletes the processed image from the storage unit 150.
  • This deletion timing may be, for example, immediately after the image is processed, or may be after a certain period of time has passed since the image was processed.
  • FIG. 6 is a flowchart showing a second example of processing performed by the passenger data generating device 10.
  • FIG. This drawing corresponds to the third processing example of the image processing unit 120 described using FIG.
  • the storage unit 150 also stores moving images generated by the imaging device 30 in advance.
  • the image processing unit 120 reads from the storage unit 150 the moving image generated while the moving object 20 is running (step S110), and processes a plurality of frame images that make up this moving image to obtain images for each passenger. , and identify the attributes of each passenger (step S120). Then, the image processing unit 120 uses this trajectory to identify the boarding position, boarding time, alighting position, and alighting time of each passenger (step S130). Then, the storage processing unit 130 causes the storage unit 150 to store each information generated by the image processing unit 120 (step S140).
  • the storage processing unit 130 deletes the processed image from the storage unit 150 in the same manner as in the first processing example shown in FIG.
  • the passenger data generation device 10 identifies the boarding section of the passenger of the mobile object by image processing, identifies the attributes of the passenger, and stores the identification result in the storage unit 150 . Therefore, it is possible to store data including attributes of passengers for each boarding section in the storage unit 150 with little effort.
  • FIG. 7 is a diagram showing the operating environment of the passenger data generation device 10 according to this embodiment, and corresponds to FIG. 1 of the first embodiment.
  • the passenger data generation device 10 according to this embodiment is the same as the passenger data generation device 10 according to the first embodiment except for the following points.
  • the passenger data generation device 10 is installed inside the mobile object 20 . Instead, a data analysis device 50 is provided outside the moving body 20 . Passenger data generation device 10 communicates with data analysis device 50 .
  • FIG. 8 is a diagram showing the functional configuration of the passenger data generation device 10 and the data analysis device 50.
  • the passenger data generation device 10 has an acquisition unit 110 , an image processing unit 120 , a storage processing unit 130 and a storage unit 150 , but does not have a statistical processing unit 140 .
  • the memory processing unit 130 also has the function of the communication device 40 shown in the first embodiment, and includes information generated by the image processing unit 120, such as attribute information for each passenger, boarding date and time, boarding position, alighting date and time, and The alighting position is transmitted to the data analysis device 50 .
  • the data analysis device 50 has a statistical processing unit 140 and a storage unit 152.
  • the storage unit 152 stores information transmitted from the storage processing unit 130 of the passenger data generation device 10 .
  • the statistical processing unit 140 statistically processes information stored in the storage unit 152 .
  • boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers.
  • Passenger data generation device comprising.
  • a passenger data generation device comprising statistical processing means for generating statistical data obtained by statistically processing the boarding section data for each of at least one item indicated by the attribute data.
  • the storage processing means causes the storage means to store, as a part of the boarding data, boarding date and time information capable of specifying the date and time when the passenger boarded the mobile body, and The passenger data generating device, wherein the statistical processing means generates the statistical data according to at least one of time of day and day of the week. 4.
  • the passenger data generation device wherein the attribute data includes at least one of sex and age. 5.
  • the passenger data generation device wherein the attribute data includes ticket type information indicating whether or not the passenger uses a specific ticket. 6. In the passenger data generation device according to any one of 1 to 5 above, The passenger data generation device, wherein the attribute data includes white cane information indicating whether or not the passenger has a white cane. 7. In the passenger data generation device according to any one of 1 to 6 above, The image has a plurality of frame images, The passenger data generating device, wherein the attribute data includes timing when the passenger starts moving toward the exit when getting off the train. 8.
  • the image has a plurality of frame images
  • the passenger data generating device wherein the image processing means identifies a trajectory of the passenger in the mobile body and identifies a drop-off position of the passenger using the trajectory.
  • the computer By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. image processing to a storage process of storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger; passenger data generation method. 10.
  • a passenger data generating method wherein the computer statistically processes the boarding section data for each of at least one item indicated by the attribute data to generate statistical data.
  • the computer is In the storage process, as a part of the boarding data, boarding date and time information that can specify the date and time when the passenger boarded the mobile body is stored in the storage means; A passenger data generation method, wherein the statistical data is generated for at least one of time of day and day of the week in the statistical processing.
  • the attribute data includes at least one of gender and age.
  • the passenger data generation method wherein the attribute data includes ticket type information indicating whether or not the passenger uses a specific ticket. 14. In the passenger data generation method according to any one of 9 to 13 above, The passenger data generating method, wherein the attribute data includes white cane information indicating whether or not the passenger possesses a white cane. 15. In the passenger data generation method according to any one of 9 to 14 above, The image has a plurality of frame images, The passenger data generating method, wherein the attribute data includes timing when the passenger starts moving toward the exit when getting off the train. 16.
  • the image has a plurality of frame images
  • the passenger data generating method wherein, in the image processing, the computer specifies a trajectory of the passenger in the moving object and uses the trajectory to specify a drop-off position of the passenger. 17. to the computer, By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers.
  • a storage processing function for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
  • the storage processing function causes the storage means to store, as a part of the boarding data, boarding date and time information capable of specifying the date and time when the passenger boarded the moving body,
  • the program, wherein the statistical processing function generates the statistical data by at least one of time of day and day of the week.
  • the attribute data includes at least one of gender and age. 21. In the program according to any one of 17 to 20 above, The program, wherein the attribute data includes ticket type information indicating whether or not the passenger is using a specific ticket. 22. In the program according to any one of 17 to 21 above, The program, wherein the attribute data includes white cane information indicating whether or not the passenger has a white cane. 23. In the program according to any one of 17 to 22 above, The image has a plurality of frame images, The program, wherein the attribute data includes timing at which the passenger starts moving toward the exit when getting off the train. 24. In the program according to any one of 17 to 23 above, The image has a plurality of frame images, The program, wherein the image processing function identifies a trajectory of the passenger in the moving object and identifies a drop-off position of the passenger using the trajectory.

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Abstract

A passenger data generation device (10) is provided with an image processing unit (120) and a storage processing unit (130). The image processing unit (120) generates riding interval data and attribute data for each of a plurality of passengers by processing images in which at least one of the entrance/exit and the interior of a moving body is captured. The riding interval data indicates the riding interval of the passenger. The attribute data indicates attributes of the passenger. The storage processing unit (130) stores, for each of the plurality of passengers, the riding interval data and the attribute data in a storage unit (150) as at least a part of riding data of the passenger.

Description

乗客データ生成装置、乗客データ生成方法、及びプログラムPASSENGER DATA GENERATION DEVICE, PASSENGER DATA GENERATION METHOD, AND PROGRAM
　本発明は、乗客データ生成装置、乗客データ生成方法、及びプログラムに関する。 The present invention relates to a passenger data generation device, a passenger data generation method, and a program.
　特許文献１には、以下に説明するように、画像処理によってバスの乗客の乗車停留所及び降車停留所を特定する技術が記載されている。具体的には、バスには、乗車カメラ及び降車カメラを設置されている。バス乗車時には、乗車カメラが読取った乗客の顔特徴量と、そのときの乗車停留所と、乗車時間とが、乗車データとして記憶装置に記憶される。また、バス降車時には、メイン処理装置は、降車カメラが読取った乗客の顔特徴量と、そのときの降車停留所と、降車時間とが降車データとして取得し、乗車データと降車データを比較し、この比較結果に基づいて本人を確認する。 As described below, Patent Document 1 describes a technique for identifying the boarding and alighting stops for bus passengers by image processing. Specifically, the bus is equipped with a boarding camera and a boarding camera. When boarding the bus, the facial features of the passenger read by the boarding camera, the boarding stop at that time, and the boarding time are stored in the storage device as boarding data. When getting off the bus, the main processing unit acquires the passenger's face feature value read by the getting-off camera, the current getting-off stop, and the getting-off time as getting-off data, and compares the getting-on data with the getting-off data. Verify the person based on the comparison result.
　また特許文献２には、バスの乗降時に、利用客が利用する磁気バスカード、ＩＣタグ付整理券、又はＩＣタグ付定期券を読み取り、この読み取り結果を用いて利用客ごと及び／又は停留所ごとの乗降状況を分析処理することが記載されている。 In addition, in Patent Document 2, when getting on and off a bus, a magnetic bus card, a numbered ticket with an IC tag, or a commuter pass with an IC tag used by a user is read, and the reading result is used for each user and/or for each stop. It is described that the boarding/alighting status of the passenger is analyzed and processed.
特開平１１－１７５７８２号公報JP-A-11-175782 特開２００７－２６４９１１号公報JP 2007-264911 A
　バスや列車などの運行計画を立てる上で、乗車区間別に乗客の属性を含むデータを生成して記憶することは重要である。本発明の目的は、乗車区間別に乗客の属性を含むデータを少ない労力で生成して記憶手段に記憶させることにある。 　It is important to generate and store data that includes the attributes of passengers for each boarding section when planning bus and train operations. SUMMARY OF THE INVENTION An object of the present invention is to generate data including attributes of passengers for each boarding section with little effort and to store the data in a storage means.
　本発明の一態様によれば、移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理手段と、
　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理手段と、
を備える乗客データ生成装置が提供される。 According to one aspect of the present invention, boarding section data indicating a boarding section of a passenger of the mobile body and attributes indicating attributes of the passenger are processed by processing images obtained by photographing at least one of the entrance and the interior of the mobile body. Image processing means for generating data for each of the plurality of passengers;
storage processing means for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
A passenger data generator is provided comprising:
　本発明の一態様によれば、コンピュータが、
　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理と、
　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理と、
を行う乗客データ生成方法が提供される。 According to one aspect of the invention, a computer is configured to:
By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. image processing to
a storage process of storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
A passenger data generation method is provided for performing
　本発明の一態様によれば、コンピュータに、
　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理機能と、
　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理機能と、
を持たせるプログラムが提供される。 According to one aspect of the invention, the computer is configured to:
By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. and an image processing function that
a storage processing function for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
A program is provided to have a
　本発明の一態様によれば、乗車区間別に乗客の属性を含むデータを少ない労力で生成して記憶手段に記憶させることができる。 According to one aspect of the present invention, data including attributes of passengers for each boarding section can be generated with little effort and stored in the storage means.
　上述した目的、およびその他の目的、特徴および利点は、以下に述べる好適な実施の形態、およびそれに付随する以下の図面によってさらに明らかになる。 The above-mentioned objects, as well as other objects, features and advantages, will become further apparent from the preferred embodiments described below and the accompanying drawings below.
第１実施形態に係る乗客データ生成装置の使用環境を説明するための図である。It is a figure for demonstrating the usage environment of the passenger data generation apparatus which concerns on 1st Embodiment. 乗客データ生成装置の機能構成の一例を示す図である。It is a figure showing an example of functional composition of a passenger data generation device. 記憶部が記憶している情報の一例を示す図である。It is a figure which shows an example of the information which the memory|storage part has memorize|stored. 乗客データ生成装置のハードウェア構成例を示す図である。It is a figure which shows the hardware structural example of a passenger data generation apparatus. 乗客データ生成装置が行う処理の第１例を示すフローチャートである。It is a flowchart which shows the 1st example of the process which a passenger data generation apparatus performs. 乗客データ生成装置が行う処理の第２例を示すフローチャートである。It is a flowchart which shows the 2nd example of the process which a passenger data generation apparatus performs. 第２実施形態に係る乗客データ生成装置の使用環境を示す図である。It is a figure which shows the usage environment of the passenger data generation apparatus which concerns on 2nd Embodiment. 乗客データ生成装置及びデータ分析装置の機能構成を示す図である。It is a figure which shows the functional structure of a passenger data generation apparatus and a data analysis apparatus.
　以下、本発明の実施の形態について、図面を用いて説明する。尚、すべての図面において、同様な構成要素には同様の符号を付し、適宜説明を省略する。 Embodiments of the present invention will be described below with reference to the drawings. In addition, in all the drawings, the same constituent elements are denoted by the same reference numerals, and the description thereof will be omitted as appropriate.
（第１実施形態）
　図１は、本実施形態に係る乗客データ生成装置１０の使用環境を説明するための図である。乗客データ生成装置１０は移動体２０の外部に位置しており、移動体２０の乗客の乗車位置及び降車位置、並びにその乗客の属性を特定し、これらのデータを互いに対応付けて後述する記憶部１５０に記憶させる。移動体２０は、例えばバス、列車、及び路面電車などの公共交通機関である。移動体２０がバスの場合、乗車位置及び降車位置は停留所である。また移動体２０が列車の場合、乗車位置及び降車位置は駅である。 (First embodiment)
FIG. 1 is a diagram for explaining the operating environment of a passenger data generation device 10 according to this embodiment. The passenger data generating device 10 is located outside the moving body 20, specifies the boarding position and the getting off position of the passenger of the moving body 20, and the attribute of the passenger, associates these data with each other, and stores them in a storage unit to be described later. Store in 150. The moving body 20 is, for example, public transportation such as a bus, a train, and a tram. If the moving body 20 is a bus, the boarding position and the alighting position are stops. Also, if the moving body 20 is a train, the boarding position and the alighting position are stations.
　移動体２０には、撮像装置３０及び通信装置４０が取り付けられている。 An imaging device 30 and a communication device 40 are attached to the moving object 20 .
　撮像装置３０は、移動体２０の内部を撮影し、複数のフレーム画像を生成する。これらフレーム画像のフレームレートは、例えば１ｆｐｓ（frames per second）以上であるが、これ以下であってもよい。またこのフレームレートは、例えば２０ｆｐｓ以下であるが、これ以上であってもよい。 The imaging device 30 photographs the inside of the moving body 20 and generates a plurality of frame images. The frame rate of these frame images is, for example, 1 fps (frames per second) or more, but may be less than this. Also, this frame rate is, for example, 20 fps or less, but may be 20 fps or more.
　移動体２０の内部における撮像装置３０の設置位置及び設置台数は、様々である。例えば移動体２０の乗車口と乗車口が別々の場合、撮像装置３０は、少なくともこの乗車口及び降車口のそれぞれに設置される。また移動体２０の乗車口が降車口を兼ねている場合、撮像装置３０は、少なくともこの乗車口に設置される。また、撮像装置３０は、これらの場所に加え、又はこれらの場所に変えて、移動体２０内の通路及び座席の少なくとも一方の上方に設置されていてもよい。 The installation positions and the number of installed imaging devices 30 in the moving body 20 are various. For example, when the boarding gate and the boarding gate of the moving body 20 are separate, the imaging device 30 is installed at least at each of the boarding gate and the boarding gate. Moreover, when the boarding gate of the moving body 20 also serves as the boarding gate, the imaging device 30 is installed at least at this boarding gate. In addition to or instead of these locations, the imaging device 30 may be installed above at least one of the aisles and seats inside the moving body 20 .
　また、移動体２０が複数の車両を有している場合、撮像装置３０は、複数の車両ごとに設置されている。 Also, when the moving body 20 has a plurality of vehicles, the imaging device 30 is installed for each of the plurality of vehicles.
　通信装置４０は、撮像装置３０が生成した画像を乗客データ生成装置１０に送信する。この画像は、画像本体の他に、その画像が生成された日時も含んでいる。通信装置４０が画像を送信するタイミングは、様々である。例えば通信装置４０は、リアルタイムで画像を乗客データ生成装置１０に送信してもよいし、終点に到着するまで画像を記憶しておき、終点到着後にこれらの画像を纏めて乗客データ生成装置１０に送信してもよいし、一定時間ごとに画像を纏めて乗客データ生成装置１０に送信してもよい。 The communication device 40 transmits the image generated by the imaging device 30 to the passenger data generation device 10. This image includes the date and time when the image was generated in addition to the image itself. The timing at which the communication device 40 transmits images varies. For example, the communication device 40 may transmit the images to the passenger data generation device 10 in real time, or may store the images until reaching the end point, and collect these images after arriving at the end point and send them to the passenger data generation device 10. Alternatively, the images may be collectively sent to the passenger data generation device 10 at regular time intervals.
　なお、通信装置４０は、各停車位置別に停車日時を示すデータも、乗客データ生成装置１０に送信する。以下、このデータを停車データと記載する。通信装置４０がＧＰＳ機能を有している場合、通信装置４０は、ＧＰＳ機能を用いて停車データを生成してもよい。また通信装置４０は、停車データを、例えば、移動体２０の運行結果を記憶している装置から取得してもよい。また、移動体２０に乗客向けの音声案内装置が搭載されており、かつ、この音声案内装置がその移動体２０の停車履歴（例えばすでに停車した停留所や駅）を記憶している場合、通信装置４０は、この音声案内装置から停車データを取得してもよい。また移動体２０の車内放送において、停車位置が案内されることがある。この場合、通信装置４０が音声認識機能を有している場合、通信装置４０は、移動体２０の車内放送を音声認識した結果を用いて停車データを生成することもできる。 The communication device 40 also transmits to the passenger data generation device 10 data indicating the stop date and time for each stop position. This data is hereinafter referred to as stop data. When communication device 40 has a GPS function, communication device 40 may generate stop data using the GPS function. Further, the communication device 40 may acquire stop data from a device that stores operation results of the mobile body 20, for example. In addition, when the moving body 20 is equipped with a voice guidance device for passengers and this voice guidance device stores the stop history of the moving body 20 (for example, the stops and stations where the vehicle has already stopped), the communication device 40 may acquire stop data from this voice guidance device. In addition, the stop position may be announced in the in-vehicle announcement of the moving body 20 . In this case, if the communication device 40 has a voice recognition function, the communication device 40 can also generate stop data using the result of voice recognition of the in-vehicle announcement of the moving body 20 .
　乗客データ生成装置１０に送信された画像は、通信装置４０から削除される。 The image sent to the passenger data generation device 10 is deleted from the communication device 40.
　図２は、乗客データ生成装置１０の機能構成の一例を示す図である。乗客データ生成装置１０は、取得部１１０、画像処理部１２０、記憶処理部１３０、及び統計処理部１４０を有しており、記憶部１５０を利用できる。本図に示す例において、記憶部１５０は乗客データ生成装置１０の一部であるが、乗客データ生成装置１０の外部に位置していてもよい。 FIG. 2 is a diagram showing an example of the functional configuration of the passenger data generation device 10. As shown in FIG. The passenger data generation device 10 has an acquisition unit 110, an image processing unit 120, a storage processing unit 130, and a statistical processing unit 140, and a storage unit 150 can be used. In the example shown in this figure, the storage unit 150 is a part of the passenger data generation device 10, but may be located outside the passenger data generation device 10. FIG.
　取得部１１０は、通信装置４０から画像データ及び停車データを取得し、これらのデータを記憶部１５０に記憶させる。 The acquisition unit 110 acquires image data and stop data from the communication device 40 and stores these data in the storage unit 150 .
　画像処理部１２０は、記憶部１５０に記憶されている画像データ及び停車データを取得し、これらのデータを用いて、複数の乗客別に乗車区間データを生成する。乗車区間データは、その乗客の乗車位置及び降車位置を含んでいる。記憶処理部１３０は、乗車区間データを記憶部１５０に記憶させる。画像処理部１２０及び記憶処理部１３０が行う処理の具体例は、以下の通りである。 The image processing unit 120 acquires image data and stop data stored in the storage unit 150, and uses these data to generate boarding section data for each of a plurality of passengers. The boarding section data includes the boarding position and alighting position of the passenger. The storage processing unit 130 causes the storage unit 150 to store the boarding section data. A specific example of the processing performed by the image processing unit 120 and the storage processing unit 130 is as follows.
（第１の処理例）
　この例において、移動体２０の乗車口及び降車口は互いに異なる。撮像装置３０は、乗車口及び降車口のそれぞれに設置されている。撮像装置３０が動画を生成するタイミングは、例えば移動体２０が停車位置に停車している間、例えば乗車口のドアが開いている間である。 (First processing example)
In this example, the entrance and exit of the moving body 20 are different from each other. The imaging device 30 is installed at each of the entrance and the exit. The timing at which the imaging device 30 generates the moving image is, for example, while the moving object 20 is stopped at the stop position, for example, while the entrance door is open.
　画像処理部１２０は、撮像装置３０が生成した画像のうち、停車データが示す日時に生成された画像を特定する。この画像は、移動体２０が停車位置に停車している間に撮像装置３０が生成した画像である。通常、ここで特定される画像は複数のフレーム画像になる。 The image processing unit 120 identifies, among the images generated by the imaging device 30, images generated at the date and time indicated by the stop data. This image is an image generated by the imaging device 30 while the moving body 20 is stopped at the stop position. Normally, the images specified here are a plurality of frame images.
　そして画像処理部１２０は、特定した画像のうち、乗車口に設置された撮像装置３０が生成した画像を処理することにより、その停車位置で乗車した乗客の外観の特徴量、例えば顔の特徴量並びに服装及び所持品の特徴量の少なくとも一方を生成する。記憶処理部１３０は、この特徴量を乗車位置すなわち今回の停車位置に紐づけて記憶部１５０に記憶させる。この際、記憶処理部１３０は、その画像が生成された日時を乗車日時として記憶部１５０に記憶させる。 Then, the image processing unit 120 processes the image generated by the imaging device 30 installed at the boarding gate among the specified images, thereby obtaining the appearance feature amount, for example, the facial feature amount of the passenger who got on at the stop position. and at least one of the feature values of clothes and belongings. The storage processing unit 130 associates this feature amount with the boarding position, ie, the current stop position, and stores it in the storage unit 150 . At this time, the storage processing unit 130 causes the storage unit 150 to store the date and time when the image was generated as the boarding date and time.
　また画像処理部１２０は、特定した画像のうちその乗客に対応する領域を処理することにより、乗客の属性を特定する。記憶処理部１３０は、この属性をその顧客の特徴量に紐づけて記憶部１５０に記憶させる。属性は、例えば、性別及び年齢層の少なくとも一方を含んでいる。属性は、さらに、予め定められた物品の所持又は使用、例えば白杖の所持や車いすの使用を含んでいてもよい。属性は、さらに、特定の乗車券を利用しているか否かを含んでいてもよい。特定の乗車券の一例は、紙媒体の乗車券、例えばシルバーパス又は周遊券である。 The image processing unit 120 also identifies attributes of the passenger by processing a region corresponding to the passenger in the identified image. The storage processing unit 130 stores this attribute in the storage unit 150 in association with the feature amount of the customer. Attributes include, for example, at least one of gender and age group. Attributes may also include possession or use of predetermined objects, such as possession of a white cane or use of a wheelchair. Attributes may also include whether a particular ticket is being used. An example of a specific ticket is a paper ticket, such as a silver pass or a round trip ticket.
　また、移動体２０が移動している間も撮像装置３０が動画を生成している場合、画像処理部１２０は、降車時に顧客が降車口に向けて移動し始めるタイミングを特定できる。例えばある乗客は、移動体２０が停車してから降車口に移動する。また、他の乗客は、移動体２０が停車する前に降車口に向けて移動し始める。記憶処理部１３０は、このタイミング、例えば停車後に移動を開始したか停車前に移動を開始したかを、その乗客の属性として記憶処理部１３０に記憶させてもよい。 Also, if the imaging device 30 is generating moving images while the mobile body 20 is moving, the image processing unit 120 can identify the timing at which the customer starts moving toward the exit when getting off the vehicle. For example, a certain passenger moves to the exit after the moving body 20 stops. Also, other passengers start moving toward the exit before the moving body 20 stops. The memory processing unit 130 may store this timing, for example, whether the passenger started moving after the vehicle stopped or before the vehicle stopped, as an attribute of the passenger.
　また画像処理部１２０は、特定した画像のうち、降車口に設置された撮像装置３０が生成した画像を処理することにより、その停車位置で降車した乗客の外観の特徴量を生成する。そして記憶処理部１３０は、記憶部１５０が記憶している乗車位置での特徴量のうち、今回画像処理部１２０が生成した降車位置での特徴量に一致する特徴量を特定し、この特徴量に、降車位置すなわち今回の停車位置を紐づけて記憶部１５０に記憶させる。この際、記憶処理部１３０は、その画像が生成された日時を降車日時として記憶部１５０に記憶させる。 In addition, the image processing unit 120 processes the image generated by the imaging device 30 installed at the exit, among the specified images, to generate the feature amount of the appearance of the passenger who got off at the stop position. Then, the storage processing unit 130 identifies, from among the feature amounts at the boarding position stored in the storage unit 150, a feature amount that matches the feature amount at the exit position generated by the image processing unit 120 this time, and determines the feature amount. , the get-off position, i.e., the current stop position, is linked and stored in the storage unit 150 . At this time, the storage processing unit 130 causes the storage unit 150 to store the date and time when the image was generated as the date and time of getting off the vehicle.
　なお、画像処理部１２０は、乗客が降車するときの画像を処理することにより、その乗客の属性を特定してもよい。この場合、記憶処理部１３０は、この属性を記憶部１５０に記憶させる。画像処理部１２０は、乗客が乗車するときの画像から乗客の属性を特定しなくてもよいし、特定してもよい。 Note that the image processing unit 120 may identify the attributes of the passenger by processing the image when the passenger gets off. In this case, the storage processing unit 130 causes the storage unit 150 to store this attribute. The image processing unit 120 may or may not specify the attributes of the passengers from the image when the passengers board the vehicle.
（第２の処理例）
　この例において、移動体２０の乗車口は降車口を兼ねている。そして、撮像装置３０は、乗車口に設置されており、動画を生成する。撮像装置３０が動画を生成するタイミングは、例えば移動体２０が停車位置に停車している間、例えば乗車口のドアが開いている間である。 (Second processing example)
In this example, the boarding gate of the moving body 20 also serves as the boarding gate. The imaging device 30 is installed at the boarding gate and generates a moving image. The timing at which the imaging device 30 generates the moving image is, for example, while the moving object 20 is stopped at the stop position, for example, while the entrance door is open.
　画像処理部１２０は、第１の例と同様に、移動体２０が停車位置に停車している間に撮像装置３０が生成した動画を特定する。そして画像処理部１２０は、特定した動画を処理することにより、乗客の移動方向を特定する。これにより、画像処理部１２０は、その乗客が移動体２０に乗車しているのか、移動体２０から降車しているのかを特定する。 As in the first example, the image processing unit 120 identifies the moving image generated by the imaging device 30 while the moving body 20 is stopped at the stop position. Then, the image processing unit 120 identifies the moving direction of the passenger by processing the identified moving image. Thereby, the image processing unit 120 identifies whether the passenger is getting on the moving body 20 or getting off the moving body 20 .
　その他の処理については、第１の処理例と同様である。 Other processing is the same as the first processing example.
（第３の処理例）
　この例において、少なくとも一つの撮像装置３０は、移動体２０内の通路及び座席の少なくとも一方の上方に設置されており、動画を生成する。撮像装置３０は、移動体２０が運行している間、常に動画を生成している。 (Third processing example)
In this example, at least one imaging device 30 is installed above at least one of the aisles and seats in the mobile body 20 and generates moving images. The imaging device 30 constantly generates moving images while the moving body 20 is running.
　画像処理部１２０は、人の追跡機能を有している。そして記憶処理部１３０は、移動体２０内における乗客の移動の軌跡を、その乗客の特徴量に紐づけて記憶部１５０に記憶させる。この軌跡は、軌跡内の各位置における時刻情報も含んでいる。そして画像処理部１２０は、この軌跡情報の始点（すなわち乗車口）及び終点（すなわち降車口）それぞれの時刻と、停車データとを用いて、乗客別に、その乗客の乗車位置及び降車位置を特定する。記憶処理部１３０は、この乗車位置及び降車位置も、その乗客の特徴量に紐づけて記憶部１５０に記憶させる。 The image processing unit 120 has a human tracking function. Then, the storage processing unit 130 causes the storage unit 150 to store the trajectory of the passenger's movement in the mobile body 20 in association with the feature amount of the passenger. This trajectory also contains time information at each position in the trajectory. Then, the image processing unit 120 identifies the boarding position and the alighting position of each passenger by using the times of the start point (i.e. boarding gate) and the end point (i.e. alighting gate) of the trajectory information and stop data. . The storage processing unit 130 stores the boarding position and the alighting position in the storage unit 150 in association with the feature amount of the passenger.
　統計処理部１４０は、記憶部１５０が記憶しているデータを統計処理することにより、乗客の統計データを生成する。統計処理部１４０が行う処理の具体例は、以下の通りである。 The statistical processing unit 140 statistically processes the data stored in the storage unit 150 to generate passenger statistical data. A specific example of the processing performed by the statistical processing unit 140 is as follows.
（第１の処理例）
　統計処理部１４０は、属性データが示す少なくとも一つの項目別かつ乗車区間別に、乗車区間データを統計処理する。統計処理時に用いられる項目は、性別、年齢層、性別及び年齢層、白杖の有無、性別及び白杖の有無、性別及び特定の乗車券の使用の有無、並びに、性別かつ年齢別の降車時の移動開始タイミングであるが、これらに限定されない。また、上記して各例において、「白杖の有無」の代わりに「車いすの使用の有無」が用いられてもよい。統計処理部１４０が行う統計処理の一例は、乗車区間別の乗客数の算出である。 (First processing example)
The statistical processing unit 140 statistically processes the boarding section data for each boarding section and at least one item indicated by the attribute data. The items used for statistical processing are gender, age group, gender and age group, presence or absence of white cane, gender and presence or absence of white cane, gender and use of a specific ticket, and time of getting off by gender and age. However, it is not limited to these. Further, in each of the above examples, "use of wheelchair" may be used instead of "use of white cane". An example of statistical processing performed by the statistical processing unit 140 is calculation of the number of passengers for each boarding section.
　統計処理部１４０において、乗車区間別かつ属性データ別に統計データを生成した場合、この統計データと、乗車区間の始点又は終点の周囲にある施設とを組み合わせると、様々な分析を行える。例えば乗車区間の終点に病院がある場合、統計処理部１４０は、その病院の受付時間以降した乗客の属性別の人数を算出してもよい。このデータを用いると、その終点を利用する乗客の利用目的として、通院以外の事項を特定できる可能性がある。 When the statistical processing unit 140 generates statistical data for each boarding section and for each attribute data, various analyzes can be performed by combining this statistical data with the facilities around the start point or end point of the boarding section. For example, if there is a hospital at the end of the boarding section, the statistical processing unit 140 may calculate the number of passengers by attribute after the reception time of the hospital. By using this data, it is possible to identify items other than hospital visits as purposes of use by passengers using the terminal.
（第２の処理例）
　統計処理部１４０は、乗車区間別かつ時刻別（又は曜日別）に乗車区間データを統計処理する。この際、統計処理部１４０は、さらに、属性データが示す少なくとも一つの項目別に、乗車区間データを統計処理してもよい。本例においても、統計処理部１４０が行う統計処理の一例は、乗車区間別の乗客数の算出である。 (Second processing example)
The statistical processing unit 140 statistically processes the boarding section data by boarding section and by time (or by day of the week). At this time, the statistical processing unit 140 may further statistically process the boarding section data for each of at least one item indicated by the attribute data. In this example as well, one example of statistical processing performed by the statistical processing unit 140 is calculation of the number of passengers for each boarding section.
　そして統計処理部１４０は、必要に応じて、統計処理の結果を記憶部１５０に記憶させる。 Then, the statistical processing unit 140 stores the results of statistical processing in the storage unit 150 as necessary.
　なお、統計処理部１４０は、乗客データ生成装置１０とは異なる装置、例えばサーバ及び端末の少なくとも一方に設けられていてもよい。 Note that the statistical processing unit 140 may be provided in a device different from the passenger data generation device 10, such as at least one of a server and a terminal.
　図３は、記憶部１５０が記憶している情報のうち、画像処理部１２０による処理結果の一例を示す図である。上記したように、画像処理部１２０は、乗客別に、その乗客の属性、乗車日時、乗車位置、降車日時、及び降車位置を記憶している。乗客の属性は、例えば、年齢、性別、特定の券種の使用の有無、白杖の有無、及び停車時の移動タイミングを含んでいる。また、乗車位置及び降車位置は、例えば停留所名や駅名であるが、住所や緯度経度情報であってもよい。また、図３において、「白杖の有無」の代わりに、又は「白杖の有無」に加えて、「車いすの使用の有無」が用いられてもよい。 FIG. 3 is a diagram showing an example of the result of processing by the image processing unit 120 among the information stored in the storage unit 150. As shown in FIG. As described above, the image processing unit 120 stores, for each passenger, the attributes of the passenger, the boarding date and time, the boarding position, the alighting date and time, and the alighting position. Passenger attributes include, for example, age, gender, use of a specific ticket type, use of a white cane, and movement timing when stopping. Also, the boarding position and the alighting position are, for example, a bus stop name or a station name, but may be an address or latitude/longitude information. Further, in FIG. 3, instead of or in addition to "whether or not a white cane is present", "whether or not a person uses a wheelchair" may be used.
　そして統計処理部１４０は、上記したように、これらの情報を統計処理することにより、移動体の乗客に関する様々な統計データを生成する。 Then, as described above, the statistical processing unit 140 statistically processes this information to generate various statistical data regarding the passengers of the moving object.
　図４は、乗客データ生成装置１０のハードウェア構成例を示す図である。乗客データ生成装置１０は、バス１０１０、プロセッサ１０２０、メモリ１０３０、ストレージデバイス１０４０、入出力インタフェース１０５０、及びネットワークインタフェース１０６０を有する。 FIG. 4 is a diagram showing a hardware configuration example of the passenger data generation device 10. As shown in FIG. Passenger data generation device 10 has bus 1010 , processor 1020 , memory 1030 , storage device 1040 , input/output interface 1050 and network interface 1060 .
　バス１０１０は、プロセッサ１０２０、メモリ１０３０、ストレージデバイス１０４０、入出力インタフェース１０５０、及びネットワークインタフェース１０６０が、相互にデータを送受信するためのデータ伝送路である。ただし、プロセッサ１０２０などを互いに接続する方法は、バス接続に限定されない。 The bus 1010 is a data transmission path for the processor 1020, the memory 1030, the storage device 1040, the input/output interface 1050, and the network interface 1060 to exchange data with each other. However, the method of connecting processors 1020 and the like to each other is not limited to bus connection.
　プロセッサ１０２０は、ＣＰＵ（Central Processing Unit）やＧＰＵ（Graphics Processing Unit）などで実現されるプロセッサである。 The processor 1020 is a processor realized by a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or the like.
　メモリ１０３０は、ＲＡＭ（Random Access Memory）などで実現される主記憶装置である。 The memory 1030 is a main memory implemented by RAM (Random Access Memory) or the like.
　ストレージデバイス１０４０は、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）、メモリカードなどのリムーバブルメディア、又はＲＯＭ（Read Only Memory）などで実現される補助記憶装置である。ストレージデバイス１０４０は乗客データ生成装置１０の各機能（例えば取得部１１０、画像処理部１２０、記憶処理部１３０、及び統計処理部１４０）を実現するプログラムモジュールを記憶している。プロセッサ１０２０がこれら各プログラムモジュールをメモリ１０３０上に読み込んで実行することで、そのプログラムモジュールに対応する各機能が実現される。また、ストレージデバイス１０４０は記憶部１５０としても機能する。 The storage device 1040 is a removable medium such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, or an auxiliary storage device realized by a ROM (Read Only Memory). The storage device 1040 stores program modules that implement each function of the passenger data generation device 10 (for example, the acquisition unit 110, the image processing unit 120, the storage processing unit 130, and the statistical processing unit 140). Each function corresponding to the program module is realized by the processor 1020 reading each program module into the memory 1030 and executing it. The storage device 1040 also functions as the storage unit 150 .
　入出力インタフェース１０５０は、乗客データ生成装置１０と各種入出力機器とを接続するためのインタフェースである。 The input/output interface 1050 is an interface for connecting the passenger data generation device 10 and various input/output devices.
　ネットワークインタフェース１０６０は、乗客データ生成装置１０をネットワークに接続するためのインタフェースである。このネットワークは、例えばＬＡＮ（Local Area Network）やＷＡＮ（Wide Area Network）である。ネットワークインタフェース１０６０がネットワークに接続する方法は、無線接続であってもよいし、有線接続であってもよい。乗客データ生成装置１０は、ネットワークインタフェース１０６０を介して通信装置４０と通信してもよい。 The network interface 1060 is an interface for connecting the passenger data generation device 10 to the network. This network is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network). A method for connecting the network interface 1060 to the network may be a wireless connection or a wired connection. Passenger data generation device 10 may communicate with communication device 40 via network interface 1060 .
　図５は、乗客データ生成装置１０が行う処理の第１例を示すフローチャートである。本図は、図２を用いて説明した画像処理部１２０の第１の処理例又は第２の処理例に対応している。また、記憶部１５０は、予め撮像装置３０が生成した画像を記憶している。 FIG. 5 is a flowchart showing a first example of processing performed by the passenger data generation device 10. FIG. This drawing corresponds to the first processing example or the second processing example of the image processing unit 120 described using FIG. In addition, the storage unit 150 stores images generated by the imaging device 30 in advance.
　まず画像処理部１２０は、記憶部１５０から、移動体２０が停車位置に停車している間に生成された複数の画像を読み出し（ステップＳ１０）、これら複数の画像を処理することにより、その停車位置で乗車した乗客及び降車した乗客のそれぞれを特定する（ステップＳ２０）。また画像処理部１２０は、読み出した複数の画像を処理することにより、その停車位置で乗車した乗客の属性を特定する（ステップＳ３０）。そして記憶処理部１３０は、画像処理部１２０が生成した各情報を記憶部１５０に記憶させる（ステップＳ４０）。 First, the image processing unit 120 reads, from the storage unit 150, a plurality of images generated while the moving body 20 is stopped at the stop position (step S10), and processes the plurality of images to obtain images of the stopped vehicle. Each of the passengers who got on and got off at the position is specified (step S20). Further, the image processing unit 120 identifies the attribute of the passenger who boarded the vehicle at the stop position by processing the plurality of read images (step S30). Then, the storage processing unit 130 causes the storage unit 150 to store each information generated by the image processing unit 120 (step S40).
　その後、記憶処理部１３０は、処理した画像を記憶部１５０から削除する。この削除タイミングは、例えばその画像を処理した直後でもよいし、処理してから一定時間が経過した後であってもよい。 After that, the storage processing unit 130 deletes the processed image from the storage unit 150. This deletion timing may be, for example, immediately after the image is processed, or may be after a certain period of time has passed since the image was processed.
　図６は、乗客データ生成装置１０が行う処理の第２例を示すフローチャートである。本図は、図２を用いて説明した画像処理部１２０の第３の処理例に対応している。また、記憶部１５０は、予め撮像装置３０が生成した動画を記憶している。 FIG. 6 is a flowchart showing a second example of processing performed by the passenger data generating device 10. FIG. This drawing corresponds to the third processing example of the image processing unit 120 described using FIG. The storage unit 150 also stores moving images generated by the imaging device 30 in advance.
　まず画像処理部１２０は、記憶部１５０から、移動体２０が運行している間に生成された動画を読み出し（ステップＳ１１０）、この動画を構成する複数のフレーム画像を処理することにより、各乗客の移動体２０内の軌跡を特定するとともに、各乗客の属性を特定する（ステップＳ１２０）。そして画像処理部１２０は、この軌跡を用いて、各乗客の乗車位置、乗車時刻、降車位置、及び降車時刻を特定する（ステップＳ１３０）。そして記憶処理部１３０は、画像処理部１２０が生成した各情報を記憶部１５０に記憶させる（ステップＳ１４０）。 First, the image processing unit 120 reads from the storage unit 150 the moving image generated while the moving object 20 is running (step S110), and processes a plurality of frame images that make up this moving image to obtain images for each passenger. , and identify the attributes of each passenger (step S120). Then, the image processing unit 120 uses this trajectory to identify the boarding position, boarding time, alighting position, and alighting time of each passenger (step S130). Then, the storage processing unit 130 causes the storage unit 150 to store each information generated by the image processing unit 120 (step S140).
　その後、記憶処理部１３０は、図５に示した第１の処理例と同様に、処理した画像を記憶部１５０から削除する。 After that, the storage processing unit 130 deletes the processed image from the storage unit 150 in the same manner as in the first processing example shown in FIG.
　以上、本実施形態によれば、乗客データ生成装置１０は、画像処理により、移動体の乗客の乗車区間を特定するとともに、その乗客の属性も特定し、特定結果を記憶部１５０に記憶させる。従って、乗車区間別に乗客の属性を含むデータを少ない労力で記憶部１５０に記憶させることができる。 As described above, according to the present embodiment, the passenger data generation device 10 identifies the boarding section of the passenger of the mobile object by image processing, identifies the attributes of the passenger, and stores the identification result in the storage unit 150 . Therefore, it is possible to store data including attributes of passengers for each boarding section in the storage unit 150 with little effort.
（第２実施形態）
　図７は、本実施形態に係る乗客データ生成装置１０の使用環境を示す図であり、第１実施形態の図１に相当している。本実施形態に係る乗客データ生成装置１０は、以下の点を除いて第１実施形態に係る乗客データ生成装置１０と同様である。 (Second embodiment)
FIG. 7 is a diagram showing the operating environment of the passenger data generation device 10 according to this embodiment, and corresponds to FIG. 1 of the first embodiment. The passenger data generation device 10 according to this embodiment is the same as the passenger data generation device 10 according to the first embodiment except for the following points.
　まず、乗客データ生成装置１０は移動体２０の内部に設置されている。その代わりに、移動体２０の外部にはデータ分析装置５０が設けられている。乗客データ生成装置１０は、データ分析装置５０と通信する。 First, the passenger data generation device 10 is installed inside the mobile object 20 . Instead, a data analysis device 50 is provided outside the moving body 20 . Passenger data generation device 10 communicates with data analysis device 50 .
　図８は、乗客データ生成装置１０及びデータ分析装置５０の機能構成を示す図である。乗客データ生成装置１０は、取得部１１０、画像処理部１２０、記憶処理部１３０、及び記憶部１５０を有しているが、統計処理部１４０を有していない。記憶処理部１３０は、第１実施形態に示した通信装置４０の機能も有しており、画像処理部１２０が生成した情報、例えば乗客別の属性情報、乗車日時、乗車位置、降車日時、及び降車位置をデータ分析装置５０に送信する。 FIG. 8 is a diagram showing the functional configuration of the passenger data generation device 10 and the data analysis device 50. As shown in FIG. The passenger data generation device 10 has an acquisition unit 110 , an image processing unit 120 , a storage processing unit 130 and a storage unit 150 , but does not have a statistical processing unit 140 . The memory processing unit 130 also has the function of the communication device 40 shown in the first embodiment, and includes information generated by the image processing unit 120, such as attribute information for each passenger, boarding date and time, boarding position, alighting date and time, and The alighting position is transmitted to the data analysis device 50 .
　データ分析装置５０は、統計処理部１４０及び記憶部１５２を有している。記憶部１５２は、乗客データ生成装置１０の記憶処理部１３０から送信されてきた情報を記憶する。統計処理部１４０は、記憶部１５２が記憶している情報を統計処理する。 The data analysis device 50 has a statistical processing unit 140 and a storage unit 152. The storage unit 152 stores information transmitted from the storage processing unit 130 of the passenger data generation device 10 . The statistical processing unit 140 statistically processes information stored in the storage unit 152 .
　本実施形態によっても、第１の実施形態と同様に、乗車区間別に乗客の属性を含むデータを少ない労力で記憶部１５０，１５２に記憶させることができる。 According to this embodiment, as in the first embodiment, it is possible to store data including attributes of passengers for each boarding section in the storage units 150 and 152 with little effort.
　以上、図面を参照して本発明の実施形態について述べたが、これらは本発明の例示であり、上記以外の様々な構成を採用することもできる。 Although the embodiments of the present invention have been described above with reference to the drawings, these are examples of the present invention, and various configurations other than those described above can be adopted.
　また、上述の説明で用いた複数のフローチャートでは、複数の工程（処理）が順番に記載されているが、各実施形態で実行される工程の実行順序は、その記載の順番に制限されない。各実施形態では、図示される工程の順番を内容的に支障のない範囲で変更することができる。また、上述の各実施形態は、内容が相反しない範囲で組み合わせることができる。 Also, in the plurality of flowcharts used in the above description, a plurality of steps (processing) are described in order, but the execution order of the steps executed in each embodiment is not limited to the order of description. In each embodiment, the order of the illustrated steps can be changed within a range that does not interfere with the content. Moreover, each of the above-described embodiments can be combined as long as the contents do not contradict each other.
　上記の実施形態の一部または全部は、以下の付記のようにも記載されうるが、以下に限られない。
　１．移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理手段と、
　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理手段と、
を備える乗客データ生成装置。
２．上記１に記載の乗客データ生成装置において、
　前記乗車区間データを前記属性データが示す少なくとも一つの項目別に統計処理した統計データを生成する統計処理手段を備える乗客データ生成装置。
３．上記２に記載の乗客データ生成装置において、
　前記記憶処理手段は、前記乗車データの一部として、前記乗客が前記移動体に乗車していた日時を特定可能な乗車日時情報を前記記憶手段に記憶させ、
　前記統計処理手段は、時刻及び曜日の少なくとも一方別に前記統計データを生成する、乗客データ生成装置。
４．上記１～３のいずれか一項に記載の乗客データ生成装置において、
　前記属性データは、性別及び年齢の少なくとも一方を含む、乗客データ生成装置。
５．上記１～４のいずれか一項に記載の乗客データ生成装置において、
　前記属性データは、前記乗客が特定の乗車券を利用しているか否かを示す券種情報を含む、乗客データ生成装置。
６．上記１～５のいずれか一項に記載の乗客データ生成装置において、
　前記属性データは、前記乗客が白杖を所持しているか否かを示す白杖情報を含む、乗客データ生成装置。
７．上記１～６のいずれか一項に記載の乗客データ生成装置において、
　前記画像は複数のフレーム画像を有しており、
　前記属性データは、降車時に前記乗客が降車口に向けて移動し始めるタイミングを含む、乗客データ生成装置。
８．上記１～７のいずれか一項に記載の乗客データ生成装置において、
　前記画像は複数のフレーム画像を有しており、
　前記画像処理手段は、前記移動体内における前記乗客の軌跡を特定し、当該軌跡を用いて前記乗客の降車位置を特定する、乗客データ生成装置。
９．コンピュータが、
　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理と、
　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理と、
を行う乗客データ生成方法。
１０．上記９に記載の乗客データ生成方法において、
　前記コンピュータが、前記乗車区間データを前記属性データが示す少なくとも一つの項目別に統計処理した統計データを生成する統計処理を行う乗客データ生成方法。
１１．上記１０に記載の乗客データ生成方法において、
　前記コンピュータは、
　　前記記憶処理において、前記乗車データの一部として、前記乗客が前記移動体に乗車していた日時を特定可能な乗車日時情報を前記記憶手段に記憶させ、
　　前記統計処理において、時刻及び曜日の少なくとも一方別に前記統計データを生成する、乗客データ生成方法。
１２．上記９～１１のいずれか一項に記載の乗客データ生成方法において、
　前記属性データは、性別及び年齢の少なくとも一方を含む、乗客データ生成方法。
１３．上記９～１２のいずれか一項に記載の乗客データ生成方法において、
　前記属性データは、前記乗客が特定の乗車券を利用しているか否かを示す券種情報を含む、乗客データ生成方法。
１４．上記９～１３のいずれか一項に記載の乗客データ生成方法において、
　前記属性データは、前記乗客が白杖を所持しているか否かを示す白杖情報を含む、乗客データ生成方法。
１５．上記９～１４のいずれか一項に記載の乗客データ生成方法において、
　前記画像は複数のフレーム画像を有しており、
　前記属性データは、降車時に前記乗客が降車口に向けて移動し始めるタイミングを含む、乗客データ生成方法。
１６．上記９～１５のいずれか一項に記載の乗客データ生成方法において、
　前記画像は複数のフレーム画像を有しており、
　前記コンピュータは、前記画像処理において、前記移動体内における前記乗客の軌跡を特定し、当該軌跡を用いて前記乗客の降車位置を特定する、乗客データ生成方法。
１７．コンピュータに、
　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理機能と、
　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理機能と、
を持たせるプログラム。
１８．上記１７に記載のプログラムにおいて、
　前記コンピュータに、前記乗車区間データを前記属性データが示す少なくとも一つの項目別に統計処理した統計データを生成する統計処理機能を持たせるプログラム。
１９．上記１８に記載のプログラムにおいて、
　前記記憶処理機能は、前記乗車データの一部として、前記乗客が前記移動体に乗車していた日時を特定可能な乗車日時情報を前記記憶手段に記憶させ、
　前記統計処理機能は、時刻及び曜日の少なくとも一方別に前記統計データを生成する、プログラム。
２０．上記１７～１９のいずれか一項に記載のプログラムにおいて、
　前記属性データは、性別及び年齢の少なくとも一方を含む、プログラム。
２１．上記１７～２０のいずれか一項に記載のプログラムにおいて、
　前記属性データは、前記乗客が特定の乗車券を利用しているか否かを示す券種情報を含む、プログラム。
２２．上記１７～２１のいずれか一項に記載のプログラムにおいて、
　前記属性データは、前記乗客が白杖を所持しているか否かを示す白杖情報を含む、プログラム。
２３．上記１７～２２のいずれか一項に記載のプログラムにおいて、
　前記画像は複数のフレーム画像を有しており、
　前記属性データは、降車時に前記乗客が降車口に向けて移動し始めるタイミングを含む、プログラム。
２４．上記１７～２３のいずれか一項に記載のプログラムにおいて、
　前記画像は複数のフレーム画像を有しており、
　前記画像処理機能は、前記移動体内における前記乗客の軌跡を特定し、当該軌跡を用いて前記乗客の降車位置を特定する、プログラム。 Some or all of the above embodiments can also be described as the following additional remarks, but are not limited to the following.
1. By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. an image processing means for
storage processing means for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
Passenger data generation device comprising.
2. In the passenger data generation device according to 1 above,
A passenger data generation device comprising statistical processing means for generating statistical data obtained by statistically processing the boarding section data for each of at least one item indicated by the attribute data.
3. In the passenger data generation device according to 2 above,
The storage processing means causes the storage means to store, as a part of the boarding data, boarding date and time information capable of specifying the date and time when the passenger boarded the mobile body, and
The passenger data generating device, wherein the statistical processing means generates the statistical data according to at least one of time of day and day of the week.
4. In the passenger data generation device according to any one of 1 to 3 above,
The passenger data generation device, wherein the attribute data includes at least one of sex and age.
5. In the passenger data generation device according to any one of 1 to 4 above,
The passenger data generation device, wherein the attribute data includes ticket type information indicating whether or not the passenger uses a specific ticket.
6. In the passenger data generation device according to any one of 1 to 5 above,
The passenger data generation device, wherein the attribute data includes white cane information indicating whether or not the passenger has a white cane.
7. In the passenger data generation device according to any one of 1 to 6 above,
The image has a plurality of frame images,
The passenger data generating device, wherein the attribute data includes timing when the passenger starts moving toward the exit when getting off the train.
8. In the passenger data generation device according to any one of 1 to 7 above,
The image has a plurality of frame images,
The passenger data generating device, wherein the image processing means identifies a trajectory of the passenger in the mobile body and identifies a drop-off position of the passenger using the trajectory.
9. the computer
By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. image processing to
a storage process of storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
passenger data generation method.
10. In the passenger data generation method according to 9 above,
A passenger data generating method, wherein the computer statistically processes the boarding section data for each of at least one item indicated by the attribute data to generate statistical data.
11. In the passenger data generation method described in 10 above,
The computer is
In the storage process, as a part of the boarding data, boarding date and time information that can specify the date and time when the passenger boarded the mobile body is stored in the storage means;
A passenger data generation method, wherein the statistical data is generated for at least one of time of day and day of the week in the statistical processing.
12. In the passenger data generation method according to any one of 9 to 11 above,
The passenger data generation method, wherein the attribute data includes at least one of gender and age.
13. In the passenger data generation method according to any one of 9 to 12 above,
The passenger data generation method, wherein the attribute data includes ticket type information indicating whether or not the passenger uses a specific ticket.
14. In the passenger data generation method according to any one of 9 to 13 above,
The passenger data generating method, wherein the attribute data includes white cane information indicating whether or not the passenger possesses a white cane.
15. In the passenger data generation method according to any one of 9 to 14 above,
The image has a plurality of frame images,
The passenger data generating method, wherein the attribute data includes timing when the passenger starts moving toward the exit when getting off the train.
16. In the passenger data generation method according to any one of 9 to 15 above,
The image has a plurality of frame images,
The passenger data generating method, wherein, in the image processing, the computer specifies a trajectory of the passenger in the moving object and uses the trajectory to specify a drop-off position of the passenger.
17. to the computer,
By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. and an image processing function that
a storage processing function for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
A program that has
18. In the program according to 17 above,
A program for providing the computer with a statistical processing function of generating statistical data by statistically processing the boarding section data for each of at least one item indicated by the attribute data.
19. In the program according to 18 above,
The storage processing function causes the storage means to store, as a part of the boarding data, boarding date and time information capable of specifying the date and time when the passenger boarded the moving body,
The program, wherein the statistical processing function generates the statistical data by at least one of time of day and day of the week.
20. In the program according to any one of 17 to 19 above,
The program, wherein the attribute data includes at least one of gender and age.
21. In the program according to any one of 17 to 20 above,
The program, wherein the attribute data includes ticket type information indicating whether or not the passenger is using a specific ticket.
22. In the program according to any one of 17 to 21 above,
The program, wherein the attribute data includes white cane information indicating whether or not the passenger has a white cane.
23. In the program according to any one of 17 to 22 above,
The image has a plurality of frame images,
The program, wherein the attribute data includes timing at which the passenger starts moving toward the exit when getting off the train.
24. In the program according to any one of 17 to 23 above,
The image has a plurality of frame images,
The program, wherein the image processing function identifies a trajectory of the passenger in the moving object and identifies a drop-off position of the passenger using the trajectory.
１０　　　　乗客データ生成装置
２０　　　　移動体
３０　　　　撮像装置
４０　　　　通信装置
５０　　　　データ分析装置
１１０　　　　取得部
１２０　　　　画像処理部
１３０　　　　記憶処理部
１４０　　　　統計処理部
１５０　　　　記憶部
１５２　　　　記憶部 10 Passenger data generation device 20 Mobile object 30 Imaging device 40 Communication device 50 Data analysis device 110 Acquisition unit 120 Image processing unit 130 Storage processing unit 140 Statistical processing unit 150 Storage unit 152 Storage unit

Claims (10)

  1. 　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理手段と、
    　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理手段と、
    を備える乗客データ生成装置。     By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. an image processing means for
    storage processing means for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
    Passenger data generation device comprising.
  2. 　請求項１に記載の乗客データ生成装置において、
    　前記乗車区間データを前記属性データが示す少なくとも一つの項目別に統計処理した統計データを生成する統計処理手段を備える乗客データ生成装置。     In the passenger data generation device according to claim 1,
    A passenger data generation device comprising statistical processing means for generating statistical data obtained by statistically processing the boarding section data for each of at least one item indicated by the attribute data.
  3. 　請求項２に記載の乗客データ生成装置において、
    　前記記憶処理手段は、前記乗車データの一部として、前記乗客が前記移動体に乗車していた日時を特定可能な乗車日時情報を前記記憶手段に記憶させ、
    　前記統計処理手段は、時刻及び曜日の少なくとも一方別に前記統計データを生成する、乗客データ生成装置。     In the passenger data generation device according to claim 2,
    The storage processing means causes the storage means to store, as a part of the boarding data, boarding date and time information capable of specifying the date and time when the passenger boarded the mobile body, and
    The passenger data generating device, wherein the statistical processing means generates the statistical data according to at least one of time of day and day of the week.
  4. 　請求項１～３のいずれか一項に記載の乗客データ生成装置において、
    　前記属性データは、性別及び年齢の少なくとも一方を含む、乗客データ生成装置。     In the passenger data generation device according to any one of claims 1 to 3,
    The passenger data generation device, wherein the attribute data includes at least one of gender and age.
  5. 　請求項１～４のいずれか一項に記載の乗客データ生成装置において、
    　前記属性データは、前記乗客が特定の乗車券を利用しているか否かを示す券種情報を含む、乗客データ生成装置。     In the passenger data generation device according to any one of claims 1 to 4,
    The passenger data generation device, wherein the attribute data includes ticket type information indicating whether or not the passenger uses a specific ticket.
  6. 　請求項１～５のいずれか一項に記載の乗客データ生成装置において、
    　前記属性データは、前記乗客が白杖を所持しているか否かを示す白杖情報を含む、乗客データ生成装置。     In the passenger data generation device according to any one of claims 1 to 5,
    The passenger data generation device, wherein the attribute data includes white cane information indicating whether or not the passenger has a white cane.
  7. 　請求項１～６のいずれか一項に記載の乗客データ生成装置において、
    　前記画像は複数のフレーム画像を有しており、
    　前記属性データは、降車時に前記乗客が降車口に向けて移動し始めるタイミングを含む、乗客データ生成装置。     In the passenger data generation device according to any one of claims 1 to 6,
    The image has a plurality of frame images,
    The passenger data generating device, wherein the attribute data includes timing when the passenger starts moving toward the exit when getting off the train.
  8. 　請求項１～７のいずれか一項に記載の乗客データ生成装置において、
    　前記画像は複数のフレーム画像を有しており、
    　前記画像処理手段は、前記移動体内における前記乗客の軌跡を特定し、当該軌跡を用いて前記乗客の降車位置を特定する、乗客データ生成装置。     In the passenger data generation device according to any one of claims 1 to 7,
    The image has a plurality of frame images,
    The passenger data generating device, wherein the image processing means identifies a trajectory of the passenger in the mobile body and identifies a drop-off position of the passenger using the trajectory.
  9. 　コンピュータが、
    　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理と、
    　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理と、
    を行う乗客データ生成方法。     the computer
    By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. image processing to
    a storage process of storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
    passenger data generation method.
  10. 　コンピュータに、
    　　移動体の出入口及び内部の少なくとも一方を撮影した画像を処理することにより、前記移動体の乗客の乗車区間を示す乗車区間データ、及び当該乗客の属性を示す属性データを、複数の前記乗客別に生成する画像処理機能と、
    　　前記複数の乗客別に、前記乗車区間データ及び前記属性データを、当該乗客の乗車データの少なくとも一部として記憶手段に記憶させる記憶処理機能と、
    を持たせるプログラム。     to the computer,
    By processing an image obtained by photographing at least one of the entrance and/or the interior of a mobile body, boarding section data indicating the boarding section of the passenger of the mobile body and attribute data indicating attributes of the passenger are generated for each of the plurality of passengers. and an image processing function that
    a storage processing function for storing the boarding section data and the attribute data for each of the plurality of passengers in a storage means as at least part of the boarding data of the passenger;
    A program that has
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WO2020045556A1 (en) * 2018-08-30 2020-03-05 日本電気株式会社 Notification device, notification control device, notification system, notification method, and program
JP2020106885A (en) * 2018-12-26 2020-07-09 キヤノンマーケティングジャパン株式会社 Information processing device, control method therefor, program, information processing system, and control method therefor
JP2021005316A (en) * 2019-06-27 2021-01-14 キヤノン株式会社 System, method for controlling system, and program
JP2021067982A (en) * 2019-10-17 2021-04-30 株式会社日立製作所 Passenger flow prediction apparatus, passenger flow prediction method, and passenger flow prediction program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020045556A1 (en) * 2018-08-30 2020-03-05 日本電気株式会社 Notification device, notification control device, notification system, notification method, and program
JP2020106885A (en) * 2018-12-26 2020-07-09 キヤノンマーケティングジャパン株式会社 Information processing device, control method therefor, program, information processing system, and control method therefor
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