WO2021156922A1 - Information generation device, information generation method, and program - Google Patents

Information generation device, information generation method, and program Download PDF

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Publication number
WO2021156922A1
WO2021156922A1 PCT/JP2020/003981 JP2020003981W WO2021156922A1 WO 2021156922 A1 WO2021156922 A1 WO 2021156922A1 JP 2020003981 W JP2020003981 W JP 2020003981W WO 2021156922 A1 WO2021156922 A1 WO 2021156922A1
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Prior art keywords
information
congestion
station
information generation
recommended
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PCT/JP2020/003981
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French (fr)
Japanese (ja)
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一仁 村田
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日本電気株式会社
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Priority to PCT/JP2020/003981 priority Critical patent/WO2021156922A1/en
Priority to JP2021575115A priority patent/JP7334805B2/en
Publication of WO2021156922A1 publication Critical patent/WO2021156922A1/en

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    • G06Q50/40—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes

Definitions

  • the present invention relates to an information generator, an information generation method, and a program.
  • Patent Document 1 describes predicting the flow of passengers after the event ends, based on the flow of passengers before the event starts. Further, Patent Document 1 also describes that the number of passengers on board and the number of waiting passengers at a station are displayed in chronological order in the future by using the predicted result of the flow of passengers.
  • Patent Document 2 congestion information of a candidate for a station to be used is acquired, and when the candidate for a station to be used is congested, an alternative route for using an alternative station to be used that can be substituted for the candidate for a congested station is provided to the user. Is described.
  • the station may have multiple routes leading to the platform.
  • the present inventor considered that the route to be used when going to the home changes depending on the distribution of the congestion situation of the home.
  • An example of an object of the present invention is to make a user of a station aware of a route to be used when going to the platform of the station.
  • an image processing means for generating congestion data indicating a congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
  • information generation means for generating recommended information indicating which of a plurality of routes leading to the home should be used and outputting the recommended information, and An information generator is provided.
  • the computer By processing the image of the platform of the station, congestion data indicating the congestion status for each of a plurality of areas included in the platform is generated.
  • An information generation method is provided which uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information. ..
  • FIG. 1 is a diagram for explaining a usage environment of the information generation device 10 according to the embodiment.
  • the information generation device 10 is used to notify the user of the station of the congestion status of the platform H of the station.
  • at least one imaging unit 20 is installed in the home H.
  • the information generation device 10 generates data (hereinafter, referred to as congestion data) indicating the congestion status of the home H by processing the image generated by the imaging unit 20.
  • a plurality of routes S are connected to the home H.
  • Route S is, for example, one of stairs, elevators, and escalators.
  • the information generation device 10 manages the home H by dividing it into regions A for each of a plurality of routes S.
  • the plurality of regions A are associated with routes S that are different from each other.
  • the congestion data shows the degree of congestion for each of these plurality of regions A.
  • the information generation device 10 uses the congestion data to generate information (hereinafter, referred to as recommended information) indicating which route S should be used when going to the home H.
  • the imaging unit 20 is provided for each of the plurality of regions A.
  • a plurality of imaging units 20 may be provided for one region A, or one imaging unit 20 may correspond to a plurality of regions A.
  • the information generation device 10 outputs the generated recommended information to the display device 30.
  • the display device 30 displays the recommended information acquired from the information generation device 10.
  • the display device 30 is, for example, a terminal held by a user of a station, but may be a display installed inside the station or at a ticket gate, or may be a display installed outside the station. good. Then, the user of the station or the person who intends to use the station can recognize the route to be used when going to the home H by looking at the recommended information displayed on the display device 30.
  • the information generation device 10 can also use the information stored in the server 40 when generating the recommended information.
  • the server 40 stores schedule information of an event held near the station for each station. For example, when it is assumed that a participant of a certain event uses a certain station, the server 40 stores the schedule information of the event in association with the station.
  • the schedule information stores at least information for estimating the date and time when the event is held and the date and time when the event ends, and the number of participants in the event.
  • Information for estimating event attendance includes at least one of the event venue and capacity, and / or the number of event attendees provided by the event organizer.
  • the schedule information may further include the location of the event.
  • examples of the server 40 include a server managed by a railway company and a server managed by a local government. Not limited to these. Further, when the event is an election speech or a street live held in a station square or the like, the server 40 may generate event information using information on the Internet.
  • the information on the Internet used here may be, for example, information written in an SNS (social networking service) or news posted on an information providing site.
  • the server 40 stores weather information for each region.
  • the meteorological information may be data showing the current weather, data predicting the future weather, or both of them. Then, the information generation device 10 acquires the weather information of the area to which the target station belongs from the server 40.
  • the information generation device 10 uses the information acquired from the server 40 to predict the congestion situation.
  • FIG. 2 is a diagram showing an example of the functional configuration of the information generation device 10.
  • the information generation device 10 has an image processing unit 110 and an information generation unit 120.
  • the image processing unit 110 acquires an image from the image pickup unit 20 together with information for identifying the image pickup unit 20 (hereinafter, referred to as image pickup unit identification information). Then, the image processing unit 110 generates the above-mentioned congestion data by processing the image acquired from the imaging unit 20.
  • the congestion data includes the degree of congestion for each area A.
  • the image processing unit 110 generates, as the degree of congestion, the area ratio of the area A in which a person can be located but no person is present in the image.
  • the area where a person can be located is, for example, an area in the area A inside the white line and on which an object such as a pillar or a vending machine is not placed.
  • the image processing unit 110 may generate the degree of congestion by calculating the number of people existing in the area A and dividing this number by the capacity set for each area A.
  • the image processing unit 110 uses the information stored in the area information storage unit 112 when generating the congestion data.
  • the area information storage unit 112 stores information necessary for generating congestion data for each area A.
  • the information stored in the area information storage unit 112 is, for example, the image pickup unit identification information of the image pickup unit 20 corresponding to the region A, the above-mentioned capacity, and the like. Then, the image processing unit 110 uses the information stored in the area information storage unit 112 to obtain the image pickup unit 20 corresponding to the area A, the image generated by the image pickup unit 20, and the area A for each area A. Identify the capacity of.
  • the area information storage unit 112 is a part of the information generation device 10, but may be located outside the information generation device 10.
  • the information generation unit 120 generates the above-mentioned recommended information using the congestion data.
  • the area information storage unit 112 stores information for identifying the route S corresponding to the area A for each area A.
  • the plurality of areas A are associated with different routes S.
  • the information generation unit 120 uses the area information storage unit 112 to generate information that can identify the route S associated with the area A having the lowest degree of congestion. This information is an example of recommended information.
  • the information generation unit 120 may use the information stored in the server 40 when generating the congestion data.
  • the information generation unit 120 reads out the schedule information of the event associated with the station having the home H on the server 40, and generates the recommended information using this schedule information.
  • the information generation unit 120 estimates the degree of congestion at the time from the present to the future by using the date and time when the event is held and the date and time when the event ends and the number of participants in the event. This estimation may be performed using, for example, the result of statistically processing the past achievements, or may be performed using the result of machine learning the past achievements.
  • the past achievements used here include, for example, the date and time of the event, the date and time of the end of the event, the number of participants in the event, and the degree of congestion for each time on the day of the event.
  • An example of machine learning teacher data is that the date and time of the event, the date and time of the end of the event, and the number of participants in the event are labeled with the degree of congestion for each time on the day of the event. Then, the information generation unit 120 specifies the route S to be used for each time using the estimated value of the degree of congestion for each time. The method for specifying the route S to be used is as described above.
  • the information generation unit 120 may estimate the crowded entrance / exit and ticket gate of the station and display the estimation result on the display device 30. .. This estimation may be performed by machine learning, for example, or may be performed using the positional relationship between the venue of the event and the ticket gate of the station.
  • the information generation unit 120 may read out the weather information of the area corresponding to the station having the home H on the server 40 and generate the recommended information using this weather information. For example, the information generation unit 120 reads necessary weather information from the server 40, and uses this weather information to estimate the degree of congestion at the time from the present to the future. This estimation may be performed using, for example, the result of statistically processing the past achievements, or may be performed using the result of machine learning the past achievements. Past performance used herein includes, for example, meteorological conditions (including at least weather) and time-of-day congestion. An example of machine learning teacher data is the weather information of the day with the degree of congestion for each time as a label. Then, the information generation unit 120 specifies the route S to be used for each time using the estimated value of the degree of congestion for each time. The method for specifying the route S to be used is as described above.
  • FIG. 3 shows the first example of recommended information.
  • the recommended information includes information that identifies the route S to be used.
  • FIG. 4 shows a second example of recommended information.
  • the recommended information indicates the degree of congestion of the area A associated with the route S for each of the plurality of routes S. Then, the user recognizes the route S having the lowest degree of congestion as the route S to be used.
  • the congestion data includes data indicating the position of the route S to be used (for example, map data in the station yard including information indicating the route S to be used). May be good.
  • the congestion data may include a diagram showing the home H, which is color-coded (or pattern-coded) according to the degree of congestion.
  • an example of the installation position of the display device 30 is near an escalator or stairs in the station yard.
  • the information generation unit 120 attaches a person who uses the escalator or route S to the display device 30 installed on the escalator or stairs.
  • the display for guiding to the area A that does not correspond to the escalator or the route S may be performed.
  • An example of this display is "There is a vacancy near the pillar D, which is 15 meters away from the escalator.”
  • the display device 30 is a terminal held by a station user.
  • the information generation unit 120 may transmit the degree of congestion for each area A to the display device 30.
  • the display device 30 can determine whether or not the current position is a congested place based on the position information of the display device 30. In the case of a crowded place, the display device 30 performs a process of prompting the person to move the place, for example, displaying and / or vibrating.
  • FIG. 5 is a diagram showing a hardware configuration example of the information generation device 10.
  • the information generator 10 includes a bus 1010, a processor 1020, a memory 1030, a storage device 1040, an input / output interface 1050, and a 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 transmit and receive data to and from each other.
  • the method of connecting the processors 1020 and the like to each other is not limited to the 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 storage device realized by a RAM (Random Access Memory) or the like.
  • the storage device 1040 is an auxiliary storage device realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, a ROM (Read Only Memory), or the like.
  • the storage device 1040 stores a program module that realizes each function of the information generation device 10 (for example, the image processing unit 110 and the information generation unit 120).
  • the processor 1020 reads each of these program modules into the memory 1030 and executes them, each function corresponding to the program module is realized.
  • the storage device 1040 also functions as an area information storage unit 112.
  • the input / output interface 1050 is an interface for connecting the information generation device 10 and various input / output devices.
  • the information generation device 10 communicates with the image pickup unit 20 and the display device 30 in the station yard via the input / output interface 1050.
  • the network interface 1060 is an interface for connecting the information generator 10 to the network.
  • This network is, for example, LAN (Local Area Network) or WAN (Wide Area Network).
  • the method of connecting the network interface 1060 to the network may be a wireless connection or a wired connection.
  • the information generation device 10 may communicate with the image pickup unit 20 and the display device 30 via the network interface 1060.
  • FIG. 6 is a flowchart showing an example of processing performed by the information generation device 10.
  • the information generation device 10 repeatedly performs the processes shown in this figure.
  • the image processing unit 110 of the information generation device 10 acquires an image from the imaging unit 20 and processes the image to calculate the degree of congestion for each area A, and uses this degree of congestion to generate congestion data. (Step S10). Then, the information generation unit 120 generates recommended information using this congestion data (step S20), and outputs the generated recommended information to the display device 30 (step S30). The display device 30 displays the recommended information acquired from the information generation device 10.
  • the information generation device 10 calculates the degree of congestion of the platform H of the station for each area, generates recommended information using this degree of congestion, and outputs the recommended information to the display device 30.
  • the recommended information indicates which of the plurality of routes S leading to the home H should be used. Therefore, in the premises of a station, the user of the station can be made to recognize the route to be used when going to the home H.
  • An image processing means that generates congestion data indicating the congestion status of each of a plurality of areas included in the platform by processing an image of the platform of the station. Using the congestion data, when going to the home, information generation means for generating recommended information indicating which of a plurality of routes leading to the home should be used and outputting the recommended information, and An information generator comprising. 2. In the information generator according to 1 above, The plurality of regions are associated with the routes that are different from each other. The recommended information is an information generator that includes information that can identify the route associated with the region having the lowest degree of congestion. 3. 3. 3.
  • the recommended information is an information generator that includes information that identifies the route to be used. 4. In the information generator described in 2 above, The recommended information is an information generator that indicates the degree of congestion of the area associated with the route for each of the plurality of routes. 5. In the information generator according to any one of 1 to 4 above.
  • the information generating means is an information generating device that further generates the recommended information by using the schedule information of an event held near at least one of the station and the other station. 6. In the information generator according to any one of 1 to 5 above.
  • the information generating means is an information generating device that further generates the recommended information by using the weather information of the area including the station. 7.
  • the computer By processing the image of the platform of the station, congestion data indicating the congestion status for each of a plurality of areas included in the platform is generated.
  • An information generation method that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
  • the plurality of regions are associated with the routes that are different from each other.
  • the recommended information is an information generation method including information that can identify the route associated with the region having the lowest degree of congestion.
  • the recommended information is an information generation method including information for specifying the route to be used. 10.
  • the recommended information is an information generation method that indicates the degree of congestion of the area associated with the route for each of the plurality of routes. 11.
  • the computer is an information generation method that further generates the recommended information by using the weather information of the area including the station. 13.
  • On the computer A function to generate congestion data indicating the congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
  • the plurality of regions are associated with the routes that are different from each other.
  • the recommended information is a program that includes information that can identify the route associated with the region having the lowest degree of congestion. 15.
  • the recommended information is a program that includes information that identifies the route to be used. 16.
  • the recommended information is a program showing the degree of congestion of the area associated with the route for each of the plurality of routes. 17.
  • Information generation device 20 Imaging unit 30 Display device 40 Server 110 Image processing unit 112 Area information storage unit 120 Information generation unit

Abstract

An information generation device (10) comprises an image processing unit (110) and an information generation unit (120). The image processing unit (110) acquires an image from an image capture unit (20). The image processing unit (110) then processes the image acquired from the image capture unit (20) to generate congestion data. The congestion data includes the degree of congestion in each region. The information generation unit (120) generates recommendation information using the congestion data. The recommendation information indicates which route should be taken to reach a platform. In a region information storage unit (112), a plurality of regions are associated with different routes. Further, the information generation unit (120) uses the region information storage unit (112) to generate information with which it is possible to identify the route associated with the region with the lowest degree of congestion.

Description

情報生成装置、情報生成方法、及びプログラムInformation generator, information generation method, and program
　本発明は、情報生成装置、情報生成方法、及びプログラムに関する。 The present invention relates to an information generator, an information generation method, and a program.
　駅の利用者にとって、駅の混雑状況を知ることは重要である。例えば特許文献１には、イベントが始まる前の乗客の流れに基づいて、イベントが終了した後の乗客の流れを予想することが記載されている。また特許文献１には、乗客の流れの予想結果を用いて、駅における乗車数及び待機乗客 数を将来にわたって時系列で表示することも記載されている。 It is important for station users to know the congestion status of the station. For example, Patent Document 1 describes predicting the flow of passengers after the event ends, based on the flow of passengers before the event starts. Further, Patent Document 1 also describes that the number of passengers on board and the number of waiting passengers at a station are displayed in chronological order in the future by using the predicted result of the flow of passengers.
　また、特許文献２には、利用駅候補の混雑情報を取得し、利用駅候補が混雑する場合は、混雑する利用駅候補に代替可能な代替利用駅を利用する代替経路をユーザに提供することが記載されている。 Further, in Patent Document 2, congestion information of a candidate for a station to be used is acquired, and when the candidate for a station to be used is congested, an alternative route for using an alternative station to be used that can be substituted for the candidate for a congested station is provided to the user. Is described.
特開２０１５－２１９６７３号公報Japanese Unexamined Patent Publication No. 2015-219673 特開２０１６－０８０６６５号公報JP-A-2016-080665
　駅には、ホームにつながるルートが複数設けられていることがある。本発明者は、ホームに行くときに利用すべきルートが、ホームの混雑状況の分布によって変わると考えた。本発明の目的の一例は、駅のホームに行くときに利用すべきルートを、その駅の利用者に認識させることにある。 The station may have multiple routes leading to the platform. The present inventor considered that the route to be used when going to the home changes depending on the distribution of the congestion situation of the home. An example of an object of the present invention is to make a user of a station aware of a route to be used when going to the platform of the station.
　本発明によれば、駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別の混雑状況を示す混雑データを生成する画像処理手段と、
　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する情報生成手段と、
を備える情報生成装置が提供される。 According to the present invention, an image processing means for generating congestion data indicating a congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
Using the congestion data, when going to the home, information generation means for generating recommended information indicating which of a plurality of routes leading to the home should be used and outputting the recommended information, and
An information generator is provided.
　本発明によれば、コンピュータが、
　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成し、
　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する、情報生成方法が提供される。 According to the present invention, the computer
By processing the image of the platform of the station, congestion data indicating the congestion status for each of a plurality of areas included in the platform is generated.
An information generation method is provided which uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information. ..
　本発明によれば、コンピュータに、
　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成する機能と、
　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する機能と、
を持たせるプログラムが提供される。 According to the present invention, in a computer
A function to generate congestion data indicating the congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
A function that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
Is provided.
　本発明によれば、駅のホームに行くときに利用すべきルートを、その駅の利用者に認識させることができる。 According to the present invention, it is possible to make the user of the station recognize the route to be used when going to the platform of the station.
　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 objectives and other objectives, features and advantages will be further clarified by the preferred embodiments described below and the accompanying drawings.
実施形態に係る情報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 use environment of the information generation apparatus which concerns on embodiment. 情報生成装置の機能構成の一例を示す図である。It is a figure which shows an example of the functional structure of an information generator. 推奨情報の第１例を示す図である。It is a figure which shows the 1st example of recommended information. 推奨情報の第２例を示す図である。It is a figure which shows the 2nd example of recommended information. 情報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 configuration example of an information generator. 情報生成装置が行う処理の一例を示すフローチャートである。It is a flowchart which shows an example of the processing performed by an information generator.
　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。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all drawings, similar components are designated by the same reference numerals, and description thereof will be omitted as appropriate.
　図１は、実施形態に係る情報生成装置１０の使用環境を説明するための図である。情報生成装置１０は、駅の利用者に、その駅のホームＨの混雑状況を通知するために用いられる。具体的には、ホームＨには少なくとも一つの撮像部２０が設置されている。そして情報生成装置１０は、撮像部２０が生成した画像を処理することにより、ホームＨの混雑状況を示すデータ（以下、混雑データと記載）を生成する。 FIG. 1 is a diagram for explaining a usage environment of the information generation device 10 according to the embodiment. The information generation device 10 is used to notify the user of the station of the congestion status of the platform H of the station. Specifically, at least one imaging unit 20 is installed in the home H. Then, the information generation device 10 generates data (hereinafter, referred to as congestion data) indicating the congestion status of the home H by processing the image generated by the imaging unit 20.
　本実施形態において、ホームＨには複数のルートＳがつながっている。ルートＳは、例えば階段、エレベータ、およびエスカレータのいずれかである。そして情報生成装置１０は、ホームＨを、複数のルートＳ別の領域Ａに分けて管理している。言い換えると、情報生成装置１０において、複数の領域Ａは互いに異なるルートＳに紐づけられている。そして混雑データは、これら複数の領域Ａ別の混雑度を示している。そして情報生成装置１０は、混雑データを用いて、ホームＨに行くときに、いずれのルートＳを利用すべきかを示す情報（以下、推奨情報と記載）を生成する。 In this embodiment, a plurality of routes S are connected to the home H. Route S is, for example, one of stairs, elevators, and escalators. Then, the information generation device 10 manages the home H by dividing it into regions A for each of a plurality of routes S. In other words, in the information generation device 10, the plurality of regions A are associated with routes S that are different from each other. And the congestion data shows the degree of congestion for each of these plurality of regions A. Then, the information generation device 10 uses the congestion data to generate information (hereinafter, referred to as recommended information) indicating which route S should be used when going to the home H.
　図１に示す例において、撮像部２０は複数の領域Ａ毎に設けられている。ただし、一つの領域Ａに対して複数の撮像部２０が設けられていてもよいし、一つの撮像部２０が複数の領域Ａに対応していてもよい。 In the example shown in FIG. 1, the imaging unit 20 is provided for each of the plurality of regions A. However, a plurality of imaging units 20 may be provided for one region A, or one imaging unit 20 may correspond to a plurality of regions A.
　情報生成装置１０は、生成した推奨情報を表示装置３０に出力する。表示装置３０は、情報生成装置１０から取得した推奨情報を表示する。表示装置３０は、例えば駅の利用者が保持している端末であるが、駅の構内や改札口に設置されたディスプレイであってもよいし、駅の外に設置されたディスプレイであってもよい。そして駅の利用者又は駅を利用しようとしている人は、表示装置３０に表示された推奨情報を見ることにより、ホームＨに行くときに使用すべきルートを認識することができる。 The information generation device 10 outputs the generated recommended information to the display device 30. The display device 30 displays the recommended information acquired from the information generation device 10. The display device 30 is, for example, a terminal held by a user of a station, but may be a display installed inside the station or at a ticket gate, or may be a display installed outside the station. good. Then, the user of the station or the person who intends to use the station can recognize the route to be used when going to the home H by looking at the recommended information displayed on the display device 30.
　なお、情報生成装置１０は、推奨情報を生成する際に、サーバ４０が記憶している情報を利用することもできる。 The information generation device 10 can also use the information stored in the server 40 when generating the recommended information.
　一例として、サーバ４０は、駅別に、当該駅の近くで開催されるイベントのスケジュール情報を記憶している。例えばサーバ４０は、あるイベントの参加者がある駅を利用すると想定される場合、その駅に紐づけて当該イベントのスケジュール情報を記憶している。ここでスケジュール情報は、少なくともイベントの開催日時及び終了日時並びに当該イベントの参加人数を推定するための情報を記憶している。イベントの参加者を推定するための情報としては、イベントの会場及び定員の少なくとも一方、及び／又は、イベントの主催者から提供されたイベントの参加者数などである。スケジュール情報は、さらにイベントの開催場所を含んでいてもよい。 As an example, the server 40 stores schedule information of an event held near the station for each station. For example, when it is assumed that a participant of a certain event uses a certain station, the server 40 stores the schedule information of the event in association with the station. Here, the schedule information stores at least information for estimating the date and time when the event is held and the date and time when the event ends, and the number of participants in the event. Information for estimating event attendance includes at least one of the event venue and capacity, and / or the number of event attendees provided by the event organizer. The schedule information may further include the location of the event.
　ここでサーバ４０の例としては、鉄道会社が管理しているサーバや、自治体が管理しているサーバが挙げられるが。これらに限定されない。またサーバ４０は、イベントが駅前広場などで行われる選挙演説や路上ライブなどである場合、インターネット上の情報を用いて、イベント情報を生成してもよい。ここで用いられるインターネット上の情報は、例えばＳＮＳ（ｓｏｃｉａｌ　ｎｅｔｗｏｒｋｉｎｇ　ｓｅｒｖｉｃｅ）に書き込まれた情報であってもよいし、情報提供サイトに掲載されたニュースであってもよい。 Here, examples of the server 40 include a server managed by a railway company and a server managed by a local government. Not limited to these. Further, when the event is an election speech or a street live held in a station square or the like, the server 40 may generate event information using information on the Internet. The information on the Internet used here may be, for example, information written in an SNS (social networking service) or news posted on an information providing site.
　他の例として、サーバ４０は、地域別に気象情報を記憶している。気象情報は、現在の気象を示すデータであってもよいし、今後の気象を予想したデータであってもよいし、これらの双方であってもよい。そして情報生成装置１０は、対象としている駅が属している地域の気象情報をサーバ４０から取得する。 As another example, the server 40 stores weather information for each region. The meteorological information may be data showing the current weather, data predicting the future weather, or both of them. Then, the information generation device 10 acquires the weather information of the area to which the target station belongs from the server 40.
　そして情報生成装置１０は、サーバ４０から取得した情報を、混雑状況の予測を行うために用いる。 Then, the information generation device 10 uses the information acquired from the server 40 to predict the congestion situation.
　図２は、情報生成装置１０の機能構成の一例を示す図である。本図に示す例において、情報生成装置１０は、画像処理部１１０及び情報生成部１２０を有している。 FIG. 2 is a diagram showing an example of the functional configuration of the information generation device 10. In the example shown in this figure, the information generation device 10 has an image processing unit 110 and an information generation unit 120.
　画像処理部１１０は、撮像部２０から画像を、その撮像部２０を識別する情報（以下、撮像部識別情報と記載）とともに取得する。そして画像処理部１１０は、撮像部２０から取得した画像を処理することにより、上記した混雑データを生成する。 The image processing unit 110 acquires an image from the image pickup unit 20 together with information for identifying the image pickup unit 20 (hereinafter, referred to as image pickup unit identification information). Then, the image processing unit 110 generates the above-mentioned congestion data by processing the image acquired from the imaging unit 20.
　上記したように、混雑データは、領域Ａ毎の混雑度を含んでいる。画像処理部１１０は、画像内における、領域Ａのうち人が位置することができるが人がいない領域の面積比を、混雑度として生成する。ここで、人が位置することができる領域とは、例えば領域Ａのうち白線の内側かつ柱や自動販売機などの物体が載置されていない領域である。また画像処理部１１０は、領域Ａに存在する人の数を算出し、この数を、領域Ａ別に設定された定員で割ることにより、混雑度を生成してもよい。 As described above, the congestion data includes the degree of congestion for each area A. The image processing unit 110 generates, as the degree of congestion, the area ratio of the area A in which a person can be located but no person is present in the image. Here, the area where a person can be located is, for example, an area in the area A inside the white line and on which an object such as a pillar or a vending machine is not placed. Further, the image processing unit 110 may generate the degree of congestion by calculating the number of people existing in the area A and dividing this number by the capacity set for each area A.
　画像処理部１１０は、混雑データを生成する際、領域情報記憶部１１２に記憶されている情報を用いる。領域情報記憶部１１２は、混雑データを生成するために必要な情報を領域Ａごとに記憶している。領域情報記憶部１１２が記憶している情報は、例えばその領域Ａに対応している撮像部２０の撮像部識別情報、及び上記した定員などである。そして画像処理部１１０は、領域情報記憶部１１２が記憶している情報を用いることにより、領域Ａ毎に、その領域Ａに対応する撮像部２０及びその撮像部２０が生成した画像、並びに領域Ａの定員を特定する。 The image processing unit 110 uses the information stored in the area information storage unit 112 when generating the congestion data. The area information storage unit 112 stores information necessary for generating congestion data for each area A. The information stored in the area information storage unit 112 is, for example, the image pickup unit identification information of the image pickup unit 20 corresponding to the region A, the above-mentioned capacity, and the like. Then, the image processing unit 110 uses the information stored in the area information storage unit 112 to obtain the image pickup unit 20 corresponding to the area A, the image generated by the image pickup unit 20, and the area A for each area A. Identify the capacity of.
　本図に示す例において、領域情報記憶部１１２は情報生成装置１０の一部であるが、情報生成装置１０の外部に位置していてもよい。 In the example shown in this figure, the area information storage unit 112 is a part of the information generation device 10, but may be located outside the information generation device 10.
　情報生成部１２０は、混雑データを用いて、上記した推奨情報を生成する。例えば領域情報記憶部１１２は、領域Ａ毎に、その領域Ａに対応するルートＳを特定する情報を記憶している。言い換えると、領域情報記憶部１１２において、複数の領域Ａは互いに異なるルートＳに紐づけられている。そして情報生成部１２０は、混雑度が最も低い領域Ａに紐づけられたルートＳが特定可能な情報を、領域情報記憶部１１２を用いて生成する。この情報は、推奨情報の一例である。 The information generation unit 120 generates the above-mentioned recommended information using the congestion data. For example, the area information storage unit 112 stores information for identifying the route S corresponding to the area A for each area A. In other words, in the area information storage unit 112, the plurality of areas A are associated with different routes S. Then, the information generation unit 120 uses the area information storage unit 112 to generate information that can identify the route S associated with the area A having the lowest degree of congestion. This information is an example of recommended information.
　なお、情報生成部１２０は、混雑データを生成する際に、サーバ４０が記憶している情報を用いてもよい。 Note that the information generation unit 120 may use the information stored in the server 40 when generating the congestion data.
　例えば情報生成部１２０は、サーバ４０において、そのホームＨを有する駅に紐づいているイベントのスケジュール情報を読み出し、このスケジュール情報を用いて推奨情報を生成する。一例として、情報生成部１２０は、イベントの開催日時及び終了日時並びにイベントへの参加人数を用いて、現在から先の時刻の混雑度を推定する。この推定は、例えば、過去の実績を統計処理した結果を用いて行われてもよいし、過去の実績を機械学習した結果を用いて行われてもよい。ここで用いられる過去の実績は、例えば、イベントの開催日時及び終了日時並びにイベントへの参加人数と、イベント当日の時刻ごとの混雑度を含んでいる。そして機械学習の教師データの一例は、イベントの開催日時及び終了日時並びにイベントへの参加人数に、イベント当日の時刻ごとの混雑度をラベルとして付したものである。そして情報生成部１２０は、時刻別の混雑度の推定値を用いて、時刻別に利用すべきルートＳを特定する。利用すべきルートＳの特定方法は、上記したとおりである。 For example, the information generation unit 120 reads out the schedule information of the event associated with the station having the home H on the server 40, and generates the recommended information using this schedule information. As an example, the information generation unit 120 estimates the degree of congestion at the time from the present to the future by using the date and time when the event is held and the date and time when the event ends and the number of participants in the event. This estimation may be performed using, for example, the result of statistically processing the past achievements, or may be performed using the result of machine learning the past achievements. The past achievements used here include, for example, the date and time of the event, the date and time of the end of the event, the number of participants in the event, and the degree of congestion for each time on the day of the event. An example of machine learning teacher data is that the date and time of the event, the date and time of the end of the event, and the number of participants in the event are labeled with the degree of congestion for each time on the day of the event. Then, the information generation unit 120 specifies the route S to be used for each time using the estimated value of the degree of congestion for each time. The method for specifying the route S to be used is as described above.
　なお、情報生成部１２０は、スケジュール情報に、そのイベントの開催場所が含まれている場合、駅のうち混雑する出入口、改札口を推定し、その推定結果を表示装置３０に表示させてもよい。この推定は、例えば機械学習によって行われてもよいし、イベントの開催場所と駅の改札口の位置関係を用いて行われてもよい。 When the schedule information includes the venue of the event, the information generation unit 120 may estimate the crowded entrance / exit and ticket gate of the station and display the estimation result on the display device 30. .. This estimation may be performed by machine learning, for example, or may be performed using the positional relationship between the venue of the event and the ticket gate of the station.
　また情報生成部１２０は、サーバ４０において、そのホームＨを有する駅に対応する地域の気象情報を読み出し、この気象情報を用いて推奨情報を生成してもよい。例えば情報生成部１２０は、サーバ４０から、必要な気象情報を読み出し、この気象情報を用いて、現在から先の時刻の混雑度を推定する。この推定は、例えば、過去の実績を統計処理した結果を用いて行われてもよいし、過去の実績を機械学習した結果を用いて行われてもよい。ここで用いられる過去の実績は、例えば、気象条件（少なくとも天気を含む）及び時刻ごとの混雑度を含んでいる。そして機械学習の教師データの一例は、その日の気象情報に、時刻ごとの混雑度をラベルとして付したものである。そして情報生成部１２０は、時刻別の混雑度の推定値を用いて、時刻別に利用すべきルートＳを特定する。利用すべきルートＳの特定方法は、上記した通りである。 Further, the information generation unit 120 may read out the weather information of the area corresponding to the station having the home H on the server 40 and generate the recommended information using this weather information. For example, the information generation unit 120 reads necessary weather information from the server 40, and uses this weather information to estimate the degree of congestion at the time from the present to the future. This estimation may be performed using, for example, the result of statistically processing the past achievements, or may be performed using the result of machine learning the past achievements. Past performance used herein includes, for example, meteorological conditions (including at least weather) and time-of-day congestion. An example of machine learning teacher data is the weather information of the day with the degree of congestion for each time as a label. Then, the information generation unit 120 specifies the route S to be used for each time using the estimated value of the degree of congestion for each time. The method for specifying the route S to be used is as described above.
　図３は、推奨情報の第１例を示している。本図に示す例において、推奨情報は、利用すべきルートＳを特定する情報を含んでいる。 FIG. 3 shows the first example of recommended information. In the example shown in this figure, the recommended information includes information that identifies the route S to be used.
　図４は、推奨情報の第２例を示している。本図に示す例において、推奨情報は、複数のルートＳ別に、当該ルートＳに紐づけられた領域Ａの混雑度を示している。そして利用者は、混雑度が最も低いルートＳを、利用すべきルートＳとして認識する。 FIG. 4 shows a second example of recommended information. In the example shown in this figure, the recommended information indicates the degree of congestion of the area A associated with the route S for each of the plurality of routes S. Then, the user recognizes the route S having the lowest degree of congestion as the route S to be used.
　なお、図３及び図４に示す例において、混雑データは、利用すべきルートＳの位置を示すデータ（例えば利用すべきルートＳを指し示す情報を含む、駅の構内の地図データ）を含んでいてもよい。この場合、混雑データは、ホームＨを示す図であって、混雑度別に色分け（又は模様分け）した図を含んでいてもよい。 In the examples shown in FIGS. 3 and 4, the congestion data includes data indicating the position of the route S to be used (for example, map data in the station yard including information indicating the route S to be used). May be good. In this case, the congestion data may include a diagram showing the home H, which is color-coded (or pattern-coded) according to the degree of congestion.
　上記したように、表示装置３０の設置位置の一例は、駅の構内のうち、エスカレータや階段付近である。ここで情報生成部１２０は、あるエスカレータや階段に対応する領域Ａの混雑度が基準値以上の場合、そのエスカレータや階段に設置された表示装置３０に、当該エスカレータやルートＳを利用した人を、当該エスカレータやルートＳに対応していない領域Ａに誘導するための表示を行わせてもよい。この表示の一例は、「エスカレータを降りて１５ｍ先の柱Ｄ付近が空いています」である。 As described above, an example of the installation position of the display device 30 is near an escalator or stairs in the station yard. Here, when the degree of congestion of the area A corresponding to a certain escalator or stairs is equal to or higher than the reference value, the information generation unit 120 attaches a person who uses the escalator or route S to the display device 30 installed on the escalator or stairs. , The display for guiding to the area A that does not correspond to the escalator or the route S may be performed. An example of this display is "There is a vacancy near the pillar D, which is 15 meters away from the escalator."
　また、表示装置３０の他の例は、駅の利用者が保持している端末である。この場合、情報生成部１２０は、領域Ａ別の混雑度を表示装置３０に送信してもよい。すると表示装置３０は、当該表示装置３０の位置情報に基づいて、現在位置が混雑している場所であるかどうかを判断することができる。混雑している場所であった場合、表示装置３０は、場所を移動するよう促す処理、例えば表示及び／又はバイブレーションを行う。 Another example of the display device 30 is a terminal held by a station user. In this case, the information generation unit 120 may transmit the degree of congestion for each area A to the display device 30. Then, the display device 30 can determine whether or not the current position is a congested place based on the position information of the display device 30. In the case of a crowded place, the display device 30 performs a process of prompting the person to move the place, for example, displaying and / or vibrating.
　図５は、情報生成装置１０のハードウェア構成例を示す図である。情報生成装置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. 5 is a diagram showing a hardware configuration example of the information generation device 10. The information generator 10 includes a bus 1010, a processor 1020, a memory 1030, a storage device 1040, an input / output interface 1050, and a 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 transmit and receive data to and from each other. However, the method of connecting the processors 1020 and the like to each other is not limited to the 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 storage device realized by a 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、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は情報生成装置１０の各機能（例えば画像処理部１１０及び情報生成部１２０）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は領域情報記憶部１１２としても機能する。 The storage device 1040 is an auxiliary storage device realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, a ROM (Read Only Memory), or the like. The storage device 1040 stores a program module that realizes each function of the information generation device 10 (for example, the image processing unit 110 and the information generation unit 120). When the processor 1020 reads each of these program modules into the memory 1030 and executes them, each function corresponding to the program module is realized. The storage device 1040 also functions as an area information storage unit 112.
　入出力インタフェース１０５０は、情報生成装置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。例えば情報生成装置１０は、入出力インタフェース１０５０を介して撮像部２０及び駅構内の表示装置３０と通信する。 The input / output interface 1050 is an interface for connecting the information generation device 10 and various input / output devices. For example, the information generation device 10 communicates with the image pickup unit 20 and the display device 30 in the station yard via the input / output interface 1050.
　ネットワークインタフェース１０６０は、情報生成装置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。情報生成装置１０は、ネットワークインタフェース１０６０を介して撮像部２０及び表示装置３０と通信してもよい。 The network interface 1060 is an interface for connecting the information generator 10 to the network. This network is, for example, LAN (Local Area Network) or WAN (Wide Area Network). The method of connecting the network interface 1060 to the network may be a wireless connection or a wired connection. The information generation device 10 may communicate with the image pickup unit 20 and the display device 30 via the network interface 1060.
　図６は、情報生成装置１０が行う処理の一例を示すフローチャートである。情報生成装置１０は、繰り返し本図に示す処理を行う。 FIG. 6 is a flowchart showing an example of processing performed by the information generation device 10. The information generation device 10 repeatedly performs the processes shown in this figure.
　まず情報生成装置１０の画像処理部１１０は、撮像部２０から画像を取得し、その画像を処理することにより、領域Ａ別の混雑度を算出し、この混雑度を用いて混雑データを生成する（ステップＳ１０）。そして情報生成部１２０は、この混雑データを用いて推奨情報を生成し（ステップＳ２０）、生成した推奨情報を表示装置３０に出力する（ステップＳ３０）。表示装置３０は、情報生成装置１０から取得した推奨情報を表示する。 First, the image processing unit 110 of the information generation device 10 acquires an image from the imaging unit 20 and processes the image to calculate the degree of congestion for each area A, and uses this degree of congestion to generate congestion data. (Step S10). Then, the information generation unit 120 generates recommended information using this congestion data (step S20), and outputs the generated recommended information to the display device 30 (step S30). The display device 30 displays the recommended information acquired from the information generation device 10.
　以上、本実施形態によれば、情報生成装置１０は、駅のホームＨの領域別の混雑度を算出し、この混雑度を用いて推奨情報を生成して表示装置３０に出力する。推奨情報は、ホームＨにつながる複数のルートＳのうちいずれを使用すべきかを示している。したがって、駅の構内において、ホームＨに行くときに利用すべきルートを、その駅の利用者に認識させることができる。 As described above, according to the present embodiment, the information generation device 10 calculates the degree of congestion of the platform H of the station for each area, generates recommended information using this degree of congestion, and outputs the recommended information to the display device 30. The recommended information indicates which of the plurality of routes S leading to the home H should be used. Therefore, in the premises of a station, the user of the station can be made to recognize the route to be used when going to the home H.
　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 the 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。 Further, in the plurality of flowcharts used in the above description, a plurality of steps (processes) 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 hinder the contents. In addition, the above-described embodiments can be combined as long as the contents do not conflict with 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．駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別の混雑状況を示す混雑データを生成する画像処理手段と、
　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する情報生成手段と、
を備える情報生成装置。
２．上記１に記載の情報生成装置において、
　前記複数の領域は互いに異なる前記ルートに紐づけられており、
　前記推奨情報は、混雑度が最も低い前記領域に紐づけられた前記ルートが特定可能な情報を含んでいる情報生成装置。
３．上記１又は２に記載の情報生成装置において、
　前記推奨情報は、利用すべき前記ルートを特定する情報を含んでいる情報生成装置。
４．上記２に記載の情報生成装置において、
　前記推奨情報は、前記複数のルート別に、当該ルートに紐づけられた前記領域の前記混雑度を示している情報生成装置。
５．上記１～４のいずれか一項に記載の情報生成装置において、
　前記情報生成手段は、さらに、当該駅及び他の駅の少なくとも一方の近くで開催されるイベントのスケジュール情報を用いて、前記推奨情報を生成する情報生成装置。
６．上記１～５のいずれか一項に記載の情報生成装置において、
　前記情報生成手段は、さらに、当該駅を含む地域の気象情報を用いて前記推奨情報を生成する情報生成装置。
７．コンピュータが、
　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成し、
　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する、情報生成方法。
８．上記７に記載の情報生成方法において、
　前記複数の領域は互いに異なる前記ルートに紐づけられており、
　前記推奨情報は、混雑度が最も低い前記領域に紐づけられた前記ルートが特定可能な情報を含んでいる情報生成方法。
９．上記７又は８に記載の情報生成方法において、
　前記推奨情報は、利用すべき前記ルートを特定する情報を含んでいる情報生成方法。
１０．上記８に記載の情報生成方法において、
　前記推奨情報は、前記複数のルート別に、当該ルートに紐づけられた前記領域の前記混雑度を示している情報生成方法。
１１．上記７～１０のいずれか一項に記載の情報生成方法において、
　前記コンピュータは、さらに、当該駅及び他の駅の少なくとも一方の近くで開催されるイベントのスケジュール情報を用いて、前記推奨情報を生成する情報生成方法。
１２．上記７～１１のいずれか一項に記載の情報生成方法において、
　前記コンピュータは、さらに、当該駅を含む地域の気象情報を用いて前記推奨情報を生成する情報生成方法。
１３．コンピュータに、
　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成する機能と、
　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する機能と、
を持たせるプログラム。
１４．上記１３に記載のプログラムにおいて、
　前記複数の領域は互いに異なる前記ルートに紐づけられており、
　前記推奨情報は、混雑度が最も低い前記領域に紐づけられた前記ルートが特定可能な情報を含んでいるプログラム。
１５．上記１３又は１４に記載のプログラムにおいて、
　前記推奨情報は、利用すべき前記ルートを特定する情報を含んでいるプログラム。
１６．上記１４に記載のプログラムにおいて、
　前記推奨情報は、前記複数のルート別に、当該ルートに紐づけられた前記領域の前記混雑度を示しているプログラム。
１７．上記１３～１６のいずれか一項に記載のプログラムにおいて、
　前記コンピュータに、さらに、当該駅及び他の駅の少なくとも一方の近くで開催されるイベントのスケジュール情報を用いて、前記推奨情報を生成させるプログラム。
１８．上記１３～１７のいずれか一項に記載のプログラムにおいて、
　前記コンピュータに、さらに、当該駅を含む地域の気象情報を用いて前記推奨情報を生成させるプログラム。 Some or all of the above embodiments may also be described, but not limited to:
1. 1. An image processing means that generates congestion data indicating the congestion status of each of a plurality of areas included in the platform by processing an image of the platform of the station.
Using the congestion data, when going to the home, information generation means for generating recommended information indicating which of a plurality of routes leading to the home should be used and outputting the recommended information, and
An information generator comprising.
2. In the information generator according to 1 above,
The plurality of regions are associated with the routes that are different from each other.
The recommended information is an information generator that includes information that can identify the route associated with the region having the lowest degree of congestion.
3. 3. In the information generator according to 1 or 2 above,
The recommended information is an information generator that includes information that identifies the route to be used.
4. In the information generator described in 2 above,
The recommended information is an information generator that indicates the degree of congestion of the area associated with the route for each of the plurality of routes.
5. In the information generator according to any one of 1 to 4 above.
The information generating means is an information generating device that further generates the recommended information by using the schedule information of an event held near at least one of the station and the other station.
6. In the information generator according to any one of 1 to 5 above.
The information generating means is an information generating device that further generates the recommended information by using the weather information of the area including the station.
7. The computer
By processing the image of the platform of the station, congestion data indicating the congestion status for each of a plurality of areas included in the platform is generated.
An information generation method that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
8. In the information generation method described in 7 above,
The plurality of regions are associated with the routes that are different from each other.
The recommended information is an information generation method including information that can identify the route associated with the region having the lowest degree of congestion.
9. In the information generation method described in 7 or 8 above,
The recommended information is an information generation method including information for specifying the route to be used.
10. In the information generation method described in 8 above,
The recommended information is an information generation method that indicates the degree of congestion of the area associated with the route for each of the plurality of routes.
11. In the information generation method according to any one of 7 to 10 above,
An information generation method in which the computer further generates the recommended information by using the schedule information of an event held near at least one of the station and the other station.
12. In the information generation method according to any one of 7 to 11 above,
The computer is an information generation method that further generates the recommended information by using the weather information of the area including the station.
13. On the computer
A function to generate congestion data indicating the congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
A function that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
Program to have.
14. In the program described in 13 above
The plurality of regions are associated with the routes that are different from each other.
The recommended information is a program that includes information that can identify the route associated with the region having the lowest degree of congestion.
15. In the program described in 13 or 14 above,
The recommended information is a program that includes information that identifies the route to be used.
16. In the program described in 14 above,
The recommended information is a program showing the degree of congestion of the area associated with the route for each of the plurality of routes.
17. In the program described in any one of 13 to 16 above,
A program that causes the computer to generate the recommended information by using the schedule information of an event held near at least one of the station and the other station.
18. In the program described in any one of 13 to 17 above,
A program that causes the computer to further generate the recommended information using the weather information of the area including the station.
１０　情報生成装置
２０　撮像部
３０　表示装置
４０　サーバ
１１０　画像処理部
１１２　領域情報記憶部
１２０　情報生成部 10 Information generation device 20 Imaging unit 30 Display device 40 Server 110 Image processing unit 112 Area information storage unit 120 Information generation unit

Claims (8)

  1. 　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別の混雑状況を示す混雑データを生成する画像処理手段と、
    　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する情報生成手段と、
    を備える情報生成装置。     An image processing means that generates congestion data indicating the congestion status of each of a plurality of areas included in the platform by processing an image of the platform of the station.
    Using the congestion data, when going to the home, information generation means for generating recommended information indicating which of a plurality of routes leading to the home should be used and outputting the recommended information, and
    An information generator comprising.
  2. 　請求項１に記載の情報生成装置において、
    　前記複数の領域は互いに異なる前記ルートに紐づけられており、
    　前記推奨情報は、混雑度が最も低い前記領域に紐づけられた前記ルートが特定可能な情報を含んでいる情報生成装置。     In the information generator according to claim 1,
    The plurality of regions are associated with the routes that are different from each other.
    The recommended information is an information generator that includes information that can identify the route associated with the region having the lowest degree of congestion.
  3. 　請求項１又は２に記載の情報生成装置において、
    　前記推奨情報は、利用すべき前記ルートを特定する情報を含んでいる情報生成装置。     In the information generator according to claim 1 or 2.
    The recommended information is an information generator that includes information that identifies the route to be used.
  4. 　請求項２に記載の情報生成装置において、
    　前記推奨情報は、前記複数のルート別に、当該ルートに紐づけられた前記領域の前記混雑度を示している情報生成装置。     In the information generator according to claim 2,
    The recommended information is an information generator that indicates the degree of congestion of the area associated with the route for each of the plurality of routes.
  5. 　請求項１～４のいずれか一項に記載の情報生成装置において、
    　前記情報生成手段は、さらに、当該駅及び他の駅の少なくとも一方の近くで開催されるイベントのスケジュール情報を用いて、前記推奨情報を生成する情報生成装置。     In the information generator according to any one of claims 1 to 4.
    The information generating means is an information generating device that further generates the recommended information by using the schedule information of an event held near at least one of the station and the other station.
  6. 　請求項１～５のいずれか一項に記載の情報生成装置において、
    　前記情報生成手段は、さらに、当該駅を含む地域の気象情報を用いて前記推奨情報を生成する情報生成装置。     In the information generator according to any one of claims 1 to 5,
    The information generating means is an information generating device that further generates the recommended information by using the weather information of the area including the station.
  7. 　コンピュータが、
    　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成し、
    　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する、情報生成方法。     The computer
    By processing the image of the platform of the station, congestion data indicating the congestion status for each of a plurality of areas included in the platform is generated.
    An information generation method that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
  8. 　コンピュータに、
    　　駅のホームを撮像した画像を処理することにより、前記ホームに含まれる複数の領域別に混雑状況を示す混雑データを生成する機能と、
    　　前記混雑データを用いて、前記ホームに行くときに、当該ホームにつながる複数のルートのうちいずれを使用すべきかを示す推奨情報を生成し、当該推奨情報を出力する機能と、
    を持たせるプログラム。     On the computer
    A function to generate congestion data indicating the congestion status for each of a plurality of areas included in the platform by processing an image of the platform of the station.
    A function that uses the congestion data to generate recommended information indicating which of a plurality of routes leading to the home should be used when going to the home, and outputs the recommended information.
    Program to have.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012174025A (en) * 2011-02-22 2012-09-10 Hitachi Solutions Ltd Vehicle congestion rate prediction system and method
WO2015118701A1 (en) * 2014-02-06 2015-08-13 株式会社日立システムズ System for generating actual predicted time of route operation, method for generating actual predicted time of route operation, and program for generating actual predicted time of route operation
JP2017063337A (en) * 2015-09-25 2017-03-30 富士通株式会社 Guidance program, control device, and, guidance method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012174025A (en) * 2011-02-22 2012-09-10 Hitachi Solutions Ltd Vehicle congestion rate prediction system and method
WO2015118701A1 (en) * 2014-02-06 2015-08-13 株式会社日立システムズ System for generating actual predicted time of route operation, method for generating actual predicted time of route operation, and program for generating actual predicted time of route operation
JP2017063337A (en) * 2015-09-25 2017-03-30 富士通株式会社 Guidance program, control device, and, guidance method

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