JP2020201651A - Information processing device, information processing system, and information processing method - Google Patents

Abstract

To provide appropriate information content according to environment in which a detected person and an output device are placed.SOLUTION: An information processing device comprises: an image processing unit that detects a person included in image information captured by an imaging device and extracts attribute information of the detected person, which includes one of demographic characteristics and behavior attribute information indicating characteristic behavior of the detected person, based on the image information; a content extraction unit that extracts, when the image processing unit detects the detected person, information content corresponding to a device group to which an output device corresponding to the imaging device belongs and selects from the extracted information content the information content satisfying an output condition based on the attribute information of the detected person extracted by the image processing unit; and a content output processing unit that causes the output device corresponding to the imaging device to output the information content selected by the content extraction unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing system, and an information processing method.

In recent years, an image of a customer is acquired by a camera in the store, the personal attribute of the customer is determined from the image to identify an individual, and further, a group of products of interest is selected from the camera position, face orientation, and staying time for each identified individual. Techniques for determining and utilizing for marketing are known (see, for example, Patent Document 1 and Patent Document 2).

Japanese Unexamined Patent Publication No. 2004-348618 Japanese Unexamined Patent Publication No. 2008-152810

However, the above-mentioned conventional technology is a technology that collects customer information in a store and provides the customer with information on products corresponding to the attention product group that the customer pays attention to. For example, an output device installed in various environments. It did not properly provide information content such as advertisements depending on the people around the output device.

The present invention has been made to solve the above problems, and an object of the present invention is an information processing device capable of providing appropriate information content according to an environment in which a detected detection person and an output device are placed. The purpose is to provide an information processing system and an information processing method.

In order to solve the above problem, one aspect of the present invention is the attribute information of a detected person who has detected a person included in the image information captured by the image pickup apparatus, and is at least the demographic of the detected person. An image processing unit that extracts attribute information of a detected person including any of a characteristic and behavior attribute information indicating a characteristic behavior of the detected person based on the image information, and the image processing unit is the detected person. Is detected, the information content corresponding to the device group to which the output device corresponding to the imaging device belongs is extracted, and the attribute information of the detected person extracted by the image processing unit is extracted from the extracted information content. It is characterized by including a content extraction unit that selects information content that satisfies the output condition based on the above, and a content output processing unit that outputs the information content selected by the content extraction unit to the output device corresponding to the image pickup device. It is an information processing device.

Further, one aspect of the present invention is an information processing system including the information processing device described above, a plurality of the image pickup devices, and an output device associated with the image pickup device.

Further, in one aspect of the present invention, the image processing unit detects a person included in the image information captured by the image pickup apparatus, and the attribute information of the detected person, which is at least the demographic characteristics of the detected person. An image processing step of extracting the attribute information of the detected person including any of the behavior attribute information indicating the characteristic behavior of the detected person based on the image information, and the content extraction unit performing the image processing step. When the detected person is detected by, the information content corresponding to the device group to which the output device corresponding to the imaging device belongs is extracted, and the information content extracted by the image processing is extracted from the extracted information content. A content extraction step that selects information content that satisfies the output conditions based on the attribute information of the detected person, and a content output processing unit transfers the information content selected by the content extraction step to the output device corresponding to the imaging device. It is an information processing method characterized by including a content output processing step to be output.

According to the present invention, it is possible to provide appropriate information content according to the environment in which the detected detection person and the output device are placed.

It is a block diagram which shows an example of the information processing system by this Embodiment. It is a figure which shows the data example of the camera group information storage part in this embodiment. It is a figure which shows the data example of the storage part corresponding to a camera group in this embodiment. It is a figure which shows the data example of the camera information storage part in this embodiment. It is a figure which shows the data example of the output device group information storage part in this embodiment. It is a figure which shows the data example of the output device group correspondence storage part in this embodiment. It is a figure which shows the data example of the output device information storage part in this embodiment. It is a figure which shows the data example of the campaign group information storage part in this embodiment. It is a figure which shows the data example of the campaign group correspondence storage part in this embodiment. It is a figure which shows the data example of the campaign information storage part in this embodiment. It is a figure which shows the data example of the person information storage part in this embodiment. It is a figure which shows the data example of the action history storage part in this embodiment. It is a figure which shows the data example of the storage part corresponding to a camera device in this embodiment. It is a figure which shows the data example of the device lock information storage part in this embodiment. It is a figure which shows the data example of the content information storage part in this embodiment. It is a figure which shows the data example of the output history storage part in this embodiment. It is a flowchart which shows an example of the collection process of the action history of the information processing system in this embodiment. It is a flowchart which shows an example of the output processing of the information content of the information processing system in this embodiment. It is a figure which shows an example of the management screen of the campaign information in this embodiment.

Hereinafter, the information processing apparatus and the information processing system according to the embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing an example of the information processing system 1 according to the present embodiment.
As shown in FIG. 1, the information processing system 1 includes an information processing device 10, a plurality of cameras 20, a plurality of output devices 30, a data server device 40, and a management terminal device 50. Further, the information processing device 10, the plurality of cameras 20, the plurality of output devices 30, the data server device 40, and the management terminal device 50 are connected via the network NW1.

The camera 20 (an example of an imaging device) is, for example, a surveillance camera capable of capturing an image including a moving image, and is installed in various places where the information processing system 1 is installed. The camera 20 outputs the captured image information (image information) to the information processing device 10 described later. The camera 20 includes a camera 21 installed inside the store ST and a camera 22 installed outside the store ST. The camera 20 may be one that constantly captures images, or may be provided with a motion sensor (not shown) to detect that a person is approaching the vicinity and start imaging.

In the example shown in FIG. 1, one camera 21 and one camera 22 are described, but it is assumed that a plurality of each of the camera 21 and the camera 22 are installed. Further, in the present embodiment, the camera 21 and the camera 22 will be described as the camera 20 when indicating an arbitrary camera included in the information processing system 1 or when not particularly distinguished.

The camera 20 belongs to one of a plurality of imaging groups having different installation environments (for example, inside the store ST, outside the store ST, etc.). In the example shown in FIG. 1, the plurality of imaging groups are a camera group Gr1 (first group) which is a group of cameras 20 installed in the store ST and a camera which is a group of cameras 20 installed outside the store ST. It is a group Gr2 (second group).

The output device 30 is, for example, a communication device such as a digital signage device, an AI (Artificial Intelligence) speaker, or a projector, and is associated with the camera 20 and installed in various places. The output device 30 outputs information content such as advertisements and communication contents provided by the information processing device 10 described later.

In the example shown in FIG. 1, one output device 31 and one output device 32 are described, but a plurality of each of the output device 31 and the output device 32 are installed as in the camera 20. It is assumed that there is. Further, in the present embodiment, the output device 31 and the output device 32 will be described as the output device 30 when indicating an arbitrary output device included in the information processing system 1 or when not particularly distinguished.

The data server device 40 is, for example, a server device connected to the network NW1 and stores various data (various information) used by the information processing system 1. The data server device 40 includes a camera group information storage unit 401, a camera group compatible storage unit 402, a camera information storage unit 403, an output device group information storage unit 404, an output device group compatible storage unit 405, and an output device information. Storage unit 406, campaign group information storage unit 407, campaign group compatible storage unit 408, campaign information storage unit 409, person information storage unit 410, action history storage unit 411, camera device compatible storage unit 412, and so on. It includes a device lock information storage unit 413, a content information storage unit 414, a content file storage unit 415, and an output history storage unit 416.

The camera group information storage unit 401 stores camera group master data, which is group information of the camera 20. For example, as shown in FIG. 2, the camera group information storage unit 401 stores the “camera group ID” and the “camera group name” in association with each other. Here, the "camera group ID" is identification information for identifying the group of the cameras 20, and the "camera group name" is the name of the camera group.

The camera group is a group indicating an installation environment such as an installation location of the camera 20 (for example, in the store ST, the sales floor of the product XX, the main street outside the store ST, etc.).
For example, in the example shown in FIG. 2, the "camera group name" corresponding to the "camera group ID" of "CG01" is "○○ store". Further, it is shown that the "camera group name" corresponding to the "camera group ID" of "CG02" is the "out-of-store camera".

The camera group correspondence storage unit 402 stores a correspondence table (association table) indicating the correspondence between the camera 20 and the camera group in the information processing system 1. For example, as shown in FIG. 3, the camera group-corresponding storage unit 402 stores the “camera ID” and the “camera group ID” in association with each other. Here, the "camera ID" is camera identification information (camera identification information) that identifies the camera 20.
In the example shown in FIG. 3, it is shown that the "camera group ID" corresponding to the camera 20 whose "camera ID" is "C001" is "CG01".

The camera information storage unit 403 stores camera master data which is management information about the camera 20. For example, as shown in FIG. 4, the camera information storage unit 403 stores the “camera ID”, the “location type”, the “installation location name”, and the “installation location information” in association with each other. Here, the "location type" is information indicating the type of the imaging location, and the "installation location name" indicates the name of the location where the camera 20 is installed. Further, the "installation location information" indicates detailed information (for example, location information, latitude / longitude information, etc.) of the location where the camera 20 is installed.

For example, in the example shown in FIG. 4, the camera 20 having the "camera ID" of "C001" has the "location type" of "inside the XX store", the "installation location name" of the "XX sales floor", and " It indicates that "installation location information" is "○○ horizontal, latitude XXX, longitude YYY".

The output device group information storage unit 404 stores device group master data which is group information of the output device 30. For example, as shown in FIG. 5, the output device group information storage unit 404 stores the “device group ID” and the “device group name” in association with each other. Here, the "device group ID" is identification information for identifying the group of the output device 30, and the "device group name" is the name of the device group.

For example, in the example shown in FIG. 5, the "device group name" corresponding to the "device group ID" of "DG01" is "○○ device". Further, it is shown that the "device group name" corresponding to the "device group ID" of "DG02" is the "out-of-store device".

The output device group correspondence storage unit 405 stores a correspondence table (association table) indicating the correspondence between the output device 30 and the device group in the information processing system 1. As shown in FIG. 6, for example, the output device group-corresponding storage unit 405 stores the “device ID” and the “device group ID” in association with each other. Here, the "device ID" is device identification information that identifies the output device 30.
In the example shown in FIG. 6, it is shown that the "device group ID" corresponding to the output device 30 whose "device ID" is "D001" is "DG01".

The output device information storage unit 406 stores device master data which is management information about the output device 30. For example, as shown in FIG. 7, the output device information storage unit 406 sets the "device ID", the "location type", the "installation location name", the "installation location information", and the "device lock time". Store in association with each other. Here, the "location type" is information indicating the type of the output location, and the "installation location name" indicates the name of the location where the output device 30 is installed. Further, the "installation location information" indicates detailed information (for example, location information, latitude / longitude information, etc.) of the location where the output device 30 is installed.

Further, the "device lock time" indicates the time during which the output device 30 is already outputting the information content and cannot output the new information content.
For example, in the example shown in FIG. 7, the output device 30 having the “device ID” of “D001” has the “location type” of “○○ store” and the “installation location name” of “○○ sales floor”. It indicates that the "installation location information" is "○○ horizontal, latitude XXX, longitude YYY". It also indicates that the "device lock time" is "30 seconds".

The campaign group information storage unit 407 stores campaign group master data which is group information of a campaign such as an advertisement. For example, as shown in FIG. 8, the campaign group information storage unit 407 stores the “campaign group ID” and the “campaign group name” in association with each other. Here, the "campaign group ID" is identification information for identifying the campaign group, and the "campaign group name" is the name of the campaign group.

For example, in the example shown in FIG. 8, it is shown that the “campaign group name” corresponding to the “campaign group ID” “CP001” is “○○ ice renewal PR”. Further, it is shown that the "campaign group name" corresponding to the "campaign group ID" of "CP002" is "XX drink PR".

The campaign group correspondence storage unit 408 stores a correspondence table (association table) indicating the correspondence between the campaign and the campaign group in the present embodiment. For example, as shown in FIG. 9, the campaign group corresponding storage unit 408 stores the “campaign group ID” and the “campaign ID” in association with each other. Here, the "campaign ID" is the campaign identification information that identifies the campaign.
In the example shown in FIG. 9, it is shown that the "campaign ID" corresponding to the "campaign group ID" is "CP001" is "CP001-01".

The campaign information storage unit 409 stores campaign master data, which is management information related to the campaign. As shown in FIG. 10, for example, the campaign information storage unit 409 includes a "campaign ID", a "campaign name", an "application start date and time", an "application end date and time", an "output condition", and a "device". The campaign information in which the "group ID" and the "content ID" are associated with each other is stored. Here, the "campaign name" indicates the name of the campaign, and the "application start date and time" and the "application end date and time" indicate the start date and time and the end date and time of the campaign.

Further, the "output condition" indicates an output condition for outputting the campaign to the output device 30. The "output condition" is, for example, a condition based on the attribute information of the detected person extracted from the image pickup information of the camera 20 by the image processing unit 111 described later. Further, the "device group ID" indicates a device group corresponding to the campaign, and the "content ID" indicates content identification information for identifying the information content to be output in the campaign.

In the example shown in FIG. 10, in the campaign corresponding to the "campaign ID" of "CP001-01", the "campaign name" is "inside the male 20s store", and the "application start date and time" and "application end date and time" are ". It shows that it is "2019/2/3" and "2019/2/15". In addition, this campaign shows that the "output condition" is "male, 20s, device gaze behavior". Further, it is shown that the "device group ID" of this campaign is "DG02" and the "content ID" is "CT001".

The person information storage unit 410 stores person master data which is information about a person detected from the image information captured by the camera 20. As shown in FIG. 11, for example, the person information storage unit 410 includes "person ID", "gender", "gender reliability", "age", "age reliability", and "behavior attribute information". , "First registration date and time", "First registration camera ID", and "Last update date and time" are stored in association with each other. Here, the "person ID" is person identification information for identifying a person detected from the image information captured by the camera 20, and the feature amount is extracted from the image information and specified based on the extracted feature amount. It is given to a person (detected person).

In addition, "gender" and "age" indicate the gender and age of the detected person, and are examples of demographic characteristics. In addition, "gender reliability" indicates the reliability of the extracted gender, and "age reliability" indicates the reliability of the extracted age. In addition, "behavior attribute information" indicates the characteristic behavior of the detected person, and "first registration date and time" and "first registration camera ID" indicate the registration date and time and camera ID when the detected person was first detected. ing. Further, the "last update date and time" indicates the last update date of the person information for the detected person.

For example, in the example shown in FIG. 11, the detected persons whose "person ID" is "U001" are "gender" and "age" of "M" (male) and "20-29"(20's). It indicates that "gender reliability" and "age reliability" are "XXX" and "YYY", and "behavior attribute information" is "in-store migration behavior". Further, this detection person indicates that the "first registration date and time" is "2019/2/3" and the "first registration camera ID" is "C001".
In addition to the above-mentioned information, the person information storage unit 410 may store information indicating the camera ID and the number of registrations / updates at the time of the last update.

The action history storage unit 411 stores the action history of the detected person detected based on the image information of the camera 20. As shown in FIG. 12, for example, the action history storage unit 411 associates the "action log number", the "person ID", the "action date and time", the "camera ID", and the "action details". Remember. Here, the "action log number" indicates an action history number (action log SEQ), and is identification information that identifies a record of each action history. In addition, "behavior details" indicates the details of the detected behavior attribute information.

For example, in the example shown in FIG. 12, the action history (record) having the "action log number" of "AL001" has the "person ID" of "U001" and the "action date and time" of "2019/2/3". The "camera ID" is detected by the camera of "C001", and the "action details" indicates that the "in-store walking behavior".

The camera device correspondence storage unit 412 stores a correspondence table (association table) indicating the correspondence between the camera 20 in the information processing system 1 and the output device 30. As shown in FIG. 13, for example, the camera device-compatible storage unit 412 stores the “camera ID” and the “device ID” in association with each other.
For example, in the example shown in FIG. 13, it is shown that the camera 20 having the “camera ID” of “C001” and the output device 30 having the “device ID” of “D001” are associated with each other. In the information processing system 1 of the present embodiment, when a person is detected by the camera 20 of the "C001", the output device 30 of the "D001" corresponding to the camera 20 of the "C001" is used to display an advertisement or the like. Output the content of the campaign.

The device lock information storage unit 413 stores device lock information indicating that the output device 30 is already outputting information content. For example, as shown in FIG. 14, the device lock information storage unit 413 stores the “device ID”, the “lock start date / time”, and the “set lock time” in association with each other. Here, the "lock start date and time" indicates the date and time when the output device 30 starts outputting the information content, and the "set lock time" indicates the time during output (content output time).

For example, in the example shown in FIG. 14, the output device 30 having the "device ID" of "D001" has a period of "30 seconds" from "2019/05/05/05, 10:00: 00" of the "lock start date and time". Indicates that it is locked.

The content information storage unit 414 stores content master data which is information of information content output from the output device 30. For example, as shown in FIG. 15, the content information storage unit 414 stores the "content ID", the "content type", and the "file path" in association with each other. Here, the "content ID" is identification information for identifying information content, and the "content type" indicates a type of content such as a moving image, an audio, or a projection image. Further, the "file path" indicates a storage destination (file path) in which the information content file is stored.

For example, in the example shown in FIG. 15, the information content having the "content ID" of "CT001" has the "content type" of "video" and the "file path" of "\\ XXXX \ movie \ A.mp4". It shows that there is.
The content file storage unit 415 stores a file of information content output from the output device 30. The content file storage unit 415 is a storage unit that serves as a storage destination indicated by the “file path” of the content information storage unit 414 described above.

The output history storage unit 416 stores the output history of outputting the information content from the output device 30 by the campaign. For example, as shown in FIG. 16, the output history storage unit 416 associates the “output log number”, the “action log number”, the “device ID”, the “output date / time”, and the “campaign ID”. The output history information is stored. Here, the "output log number" indicates an output history number (output log SEQ), and is identification information that identifies a record of each output history. Further, the "action log number" indicates the "action log number" of the above-mentioned action history storage unit 411. The "output date and time" indicates the date and time when the output device 30 outputs the information content.

In the example shown in FIG. 16, the output history in which the "output log number" is "LG001" uses the output device 30 in which the "action log number" is "AL001" and the "device ID" is "D001". , It is shown that the information content corresponding to the "campaign ID" of "CP001-01" is output at "2019/05/05, 10:00" of the "output date and time".
In this way, the output history storage unit 416 includes the action history (“action log number”) of the detected person, the information of the output device 30 used (“device ID”), and the output content (“campaign ID”). , Stores the output history associated with the output date and time (“output date and time”).

The management terminal device 50 is, for example, a terminal device such as a personal computer (PC) or a tablet terminal, and executes management processing of various information stored in the data server device 40 via the network NW1. The management terminal device 50 includes an input unit 51, a display unit 52, and a terminal control unit 53.

The input unit 51 is, for example, an input device such as a keyboard or a mouse, and receives various necessary information from the user (administrator) of the management terminal device 50.
The display unit 52 is, for example, a display device such as a liquid crystal display, and displays various information. The display unit 52 displays various display screens and the like when managing various information stored in the data server device 40, for example.

The terminal control unit 53 is, for example, a processor including a CPU (Central Processing Unit) and the like, and controls the management terminal device 50 in an integrated manner. The terminal control unit 53 includes, for example, a management processing unit 531.
The management processing unit 531 communicates with the data server device 40 via the network NW1 and executes a management process for managing various information stored in the data server device 40. The management processing unit 531 executes management processing such as registration, deletion, and update of campaign information in the campaign information storage unit 409, the campaign group information storage unit 407, and the campaign group corresponding storage unit 408, for example. Further, the management processing unit 531 executes management processing such as registration, deletion, and update of information content in the content information storage unit 414 and the content file storage unit 415, for example.

The information processing device 10 is, for example, a server device connected to the network NW1. The information processing device 10 collects the detected person detected by using the camera 20 and the action history of the detected person, selects a campaign corresponding to the detected person, and provides information content (advertisement, PR information) corresponding to the selected campaign. , Communication content, etc.) is output from the output device 30. The information processing device 10 includes a control unit 11.

The control unit 11 is, for example, a processor including a CPU and the like, and controls the information processing device 10 in an integrated manner. The control unit 11 includes an image processing unit 111, a person registration processing unit 112, an action history processing unit 113, a campaign extraction unit 114, a content output processing unit 115, and an output history processing unit 116.

The image processing unit 111 detects a person included in the image information captured by the camera 20, and extracts the attribute information of the detected detected person based on the image information. Here, the attribute information of the detected person includes at least one of the demographic characteristics of the detected person (for example, gender, age, etc.) and the behavior attribute information indicating the characteristic behavior of the detected person. When a person is detected, the image processing unit 111 extracts a feature amount from, for example, the face, body shape, clothes, or the like of the person. Further, the image processing unit 111 creates a new person based on a comparison result of comparing the feature amount of the detected person extracted by the image processing unit 111 with the past feature amount stored in the storage unit (not shown). When it is determined that the person has been detected, a new person ID is assigned to the detected person.

In addition, the image processing unit 111 extracts behavior attribute information from the movement of the detected person. Here, the behavior attribute information includes, for example, the behavior of wandering in the store ST based on the movement line of the detected person, the behavior of staying in front of the shelf of the product, the behavior of picking up the product, the direction of the line of sight and the face of the detected person. Based on this, the action of gazing at the output device 30 or the product is included.

The image processing unit 111 may extract different behavior attribute information according to the camera group (imaging group) to which the camera 20 belongs. For example, when the camera 20 that captures a person belongs to the camera group Gr1 in the store ST, the image processing unit 111 detects the staying behavior, the behavior of picking up the product, and the like, and the camera 20 performs the store ST. When belonging to the outside camera group Gr2, the image processing unit 111 may detect the gaze behavior or the like.

The person registration processing unit 112 (an example of the registration processing unit) assigns a person ID (person identification information) for identifying the detected person to the detected person newly detected by the image processing unit 111, and the person ID and the detected person Is stored in the person information storage unit 410 in association with the attribute information of. The person registration processing unit 112 stores the person information in the person information storage unit 410, for example, as shown in FIG. 11 described above.

Further, when the person registration processing unit 112 determines that the person is a person detected in the past based on the feature amount of the detected person extracted by the image processing unit 111, the person information storage unit 410 corresponding to the detected person. Update the person information of. In addition, the person registration processing unit 112 uses the representative action attribute information corresponding to the person ID among the action history information stored in the action history storage unit 411 as the attribute information of the detected person corresponding to the person ID. It is stored in the storage unit 410.

When the image processing unit 111 detects the detected person, the action history processing unit 113 corresponds to the person ID, the camera ID (imaging identification information), the action attribute information, and the date and time information from which the action attribute information is extracted. The attached action history information is stored in the action history storage unit 411. For example, as shown in FIG. 12, the action history processing unit 113 stores the action history information of the detected detected person in the action history storage unit 411.

When the image processing unit 111 detects a detected person, the campaign extraction unit 114 (an example of the content extraction unit) extracts information content corresponding to the device group to which the output device 30 corresponding to the camera 20 belongs. The campaign extraction unit 114 acquires attribute information (gender, age, and behavior attribute information) corresponding to the person ID of the detected person from the person information storage unit 410. When a plurality of detected persons are detected, the campaign extraction unit 114 applies (selects) the attribute information representing the plurality of detected persons, for example, determining the attribute information by a majority vote. Further, when the detected person detected by the image processing unit 111 is already stored in the person information storage unit 410, the campaign extraction unit 114 obtains the attribute information of the detected person corresponding to the person ID given to the detected person. Obtained from the person information storage unit 410.

Further, the campaign extraction unit 114 acquires the device ID of the output device 30 corresponding to the camera ID of the camera 20 in which the person is detected from the camera device compatible storage unit 412. The campaign extraction unit 114 further acquires the device group ID of the device group to which the acquired device ID belongs from the output device group corresponding storage unit 405. The campaign extraction unit 114 extracts the campaign information corresponding to the acquired device group ID from the plurality of campaign information stored in the campaign information storage unit 409. It is assumed that the campaign extraction unit 114 has extracted the information content corresponding to the content ID included in the extracted campaign information.

Further, the campaign extraction unit 114 selects information content that satisfies the output condition based on the attribute information of the detected person extracted by the image processing unit 111 from the extracted information content. That is, the campaign extraction unit 114 matches the output condition (output condition) based on the attribute information (gender, age, and behavior attribute information) acquired from the person information storage unit 410 from the extracted campaign information. Select information.
When the image processing unit 111 detects a plurality of detected persons, the campaign extraction unit 114 selects information content that satisfies the output condition based on the attribute information representing the plurality of detected persons applied by the campaign extraction unit 114. To do. Further, when there are a plurality of campaigns that match the output conditions, the campaign extraction unit 114 preferentially selects, for example, a new campaign with an update date and time.

The content output processing unit 115 outputs the information content selected by the campaign extraction unit 114 to the output device 30 corresponding to the camera 20. The content output processing unit 115 causes the output device 30 corresponding to the camera 20 to output the information content corresponding to the content ID included in the campaign information selected by the campaign extraction unit 114.

Specifically, the content output processing unit 115 sets a file path (for example, “\\ XXXX \ movie \ A.mp4” shown in FIG. 15) corresponding to the content ID included in the campaign information of the campaign information storage unit 409. , Obtained from the content information storage unit 414. Then, the content output processing unit 115 acquires information content from the content file storage unit 415 according to the acquired file path, and outputs the acquired information content to the output device 30 corresponding to the camera 20.

Further, the content output processing unit 115 suspends the output of the selected information content when the output device 30 corresponding to the camera 20 is outputting the information content. The content output processing unit 115 confirms the device lock information storage unit 413 when causing the output device 30 to output information content, and determines whether or not the output device 30 corresponding to the device ID is locked (outputting). When the determination is made and the output device 30 is locked (outputting), the output of the selected information content is suspended.
Further, the content output processing unit 115 causes the output device 30 to output the information content selected by the campaign extraction unit 114 when the output device 30 corresponding to the camera 20 is not locked (outputting).

The output history processing unit 116 indicates the output information corresponding to the information content output by the content output processing unit 115, the output identification information for identifying the output device 30 that output the information content, and the output date and time indicating the date and time when the information content was output. The output history information associated with the information is stored in the output history storage unit 416. For example, as shown in FIG. 16, the output history processing unit 116 stores the output history information that outputs the information content in the output history storage unit 416.
Further, the output history processing unit 116 stores the device lock information in the device lock information storage unit 413, for example, as shown in FIG.

Next, the operation of the information processing system 1 according to the present embodiment will be described with reference to the drawings.
FIG. 17 is a flowchart showing an example of the action history collection process of the information processing system 1 in the present embodiment.

As shown in FIG. 17, the information processing apparatus 10 first acquires image information from the camera 20 (step S101). The image processing unit 111 of the control unit 11 periodically acquires the image information captured by each camera 20.

Next, the image processing unit 111 determines whether or not the image information includes a person (step S102). The image processing unit 111 extracts (detects) a person included in the image information by using, for example, an existing image processing technique. When the image information includes a person (step S102: YES), the image processing unit 111 advances the processing to step S103. Further, the image processing unit 111 returns the processing to step S101 when the image information does not include a person (step S102: NO).

In step S103, the image processing unit 111 extracts the feature amount of the detected person. The image processing unit 111 extracts the feature amount of the detected person by using, for example, an existing face recognition technique.
Next, the image processing unit 111 extracts the demographic characteristics of the detected person (step S104). The image processing unit 111 estimates the demographic characteristics such as the gender and age of the detected person and the reliability of the demographic characteristics by using, for example, an existing image processing technique.

Next, the image processing unit 111 determines whether or not the detected person has been registered (step S105). The image processing unit 111 compares the extracted feature amount of the detected person with the past feature amount stored in the storage unit (not shown), and detects whether the matching rate is equal to or higher than a predetermined threshold value. Determine if the person is already registered.

The image processing unit 111 determines that the detected person is registered when the match rate is equal to or higher than a predetermined threshold value, and proceeds to the process in step S110 when the detected person is registered (step S105: YES). .. Further, the image processing unit 111 determines that the detected person is not registered (unregistered) when the match rate is less than a predetermined threshold value, and when the detected person is not registered (step S104: NO). , The process proceeds to step S106.

In step S106, the person registration processing unit 112 of the control unit 11 registers the person information. The person registration processing unit 112 assigns a new person ID to the detected person, and together with the demographic characteristics (gender, age, etc.) extracted by the image processing unit 111, the person information storage unit as person information. Store in 410. That is, the person registration processing unit 112 stores the person information in the person information storage unit 410, for example, as shown in FIG.

Next, in step S107, the image processing unit 111 extracts behavior attribute information from the detected person. The image processing unit 111 extracts the behavior attribute information of the detected person from the image information by, for example, the existing image processing technique.

Next, the action history processing unit 113 of the control unit 11 executes the addition of the action history information (step S108). For example, as shown in FIG. 12, the action history processing unit 113 stores the action history information of the detected detected person in the action history storage unit 411.

Next, the person registration processing unit 112 updates the person information (step S109). The person registration processing unit 112 updates the person information stored in the person information storage unit 410. After the process of step S109, the person registration processing unit 112 ends the action history collection process.

Further, in step S110, the person registration processing unit 112 adopts highly reliable demographic characteristics for the person information. The person registration processing unit 112 compares the reliability of the demographic characteristics estimated by the image processing unit 111 with the reliability of the demographic characteristics stored in the person information storage unit 410, and has a highly reliable population. The statistical characteristics are adopted in the person information storage unit 410. That is, when the person registration processing unit 112 has a high reliability newly estimated by the image processing unit 111, the person information storage unit 410 stores the newly estimated reliability.

The action history collection process from step S101 to step S110 described above may be executed at scheduled time intervals, and when the camera 20 is equipped with a motion sensor, the motion sensor detects a person. It may be executed when it is detected.

Next, the output processing of the information content in the present embodiment will be described with reference to FIG.
FIG. 18 is a flowchart showing an example of output processing of the information content of the information processing system 1 in the present embodiment. It is assumed that the process shown in FIG. 18 is executed after the action history collection process shown in FIG. 17 described above.

As shown in FIG. 18, the information processing apparatus 10 first determines whether or not a person has been detected (step S201). The image processing unit 111 of the information processing device 10 determines whether or not there is a person included in the image information captured by the camera 20. When the image processing unit 111 detects a person in the image information (step S201: YES), the image processing unit 111 proceeds to the process in step S202. Further, when the image processing unit 111 does not detect a person in the image information (step S201: NO), the image processing unit 111 returns the processing to step S201.

In step S202, the campaign extraction unit 114 of the information processing device 10 acquires the gender, age, and behavior attribute information of the detected person. For example, the campaign extraction unit 114 reads and acquires the gender, age, and behavior attribute information corresponding to the person ID of the detected person from the person information storage unit 410 as shown in FIG.

Next, the campaign extraction unit 114 acquires the device ID of the output device 30 corresponding to the camera 20 that has detected the person (step S203). For example, the campaign extraction unit 114 acquires a device ID corresponding to the camera ID of the camera 20 that has detected a person from the camera device compatible storage unit 412 as shown in FIG.

Next, the campaign extraction unit 114 determines whether or not the output device 30 is locked (step S204). For example, the campaign extraction unit 114 confirms the device lock information storage unit 413 as shown in FIG. 14, and determines whether or not the output device 30 corresponding to the device ID is locked (outputting). When the output device 30 is locked (step S204: YES), the campaign extraction unit 114 returns the process to step S201. Further, the campaign extraction unit 114 advances the process to step S205 when the output device 30 is not locked (step S204: NO).

In step S205, the campaign extraction unit 114 acquires the device group ID corresponding to the device ID. The campaign extraction unit 114 acquires the device group ID corresponding to the device ID from the output device group corresponding storage unit 405 as shown in FIG. 6, for example.

Next, the campaign extraction unit 114 extracts a list of campaigns corresponding to the device group ID (step S206). For example, the campaign extraction unit 114 extracts the campaign information corresponding to the device group ID from the campaign information stored in the campaign information storage unit 409 as shown in FIG. 10, and generates a list of campaigns.

Next, the campaign extraction unit 114 selects a campaign that satisfies the output conditions based on the gender, age, and behavior attribute information (step S207). From the list of campaigns described above, the campaign extraction unit 114 selects a campaign that satisfies the output condition based on the gender, age, and behavior attribute information corresponding to the person ID of the detected person. For example, when the gender, age, and behavior attribute information corresponding to the person ID of the detected person is “male”, “20s”, and “device gaze behavior”, the campaign extraction unit 114 may see, for example, FIG. Select a campaign whose "campaign ID" shown in (1) is "CP001-01".

Next, the content output processing unit 115 of the information processing device 10 acquires the information content corresponding to the selected campaign (step S208). The content output processing unit 115 acquires information content corresponding to the campaign information of the selected campaign. For example, in the case of a campaign in which the "campaign ID" shown in FIG. 10 is "CP001-01", the content output processing unit 115 first acquires the "content ID" ("CT001") included in the campaign information. The content output processing unit 115 stores the "file path" (for example, "\\ XXXX \ movie \ A.mp4" shown in FIG. 15) corresponding to the acquired "content ID" ("CT001") in the content information storage unit. It is acquired from 414, and information content is acquired from the content file storage unit 415 by the "file path".

Next, the content output processing unit 115 outputs the acquired information content from the output device 30 corresponding to the camera 20 (step S209). In the process of step S203 described above, the content output processing unit 115 identifies the output device 30 corresponding to the acquired device ID from, for example, the output device information storage unit 406 as shown in FIG. 7, and from the output device 30. Output information content.

Next, the output history processing unit 116 of the information processing device 10 adds the output history information (step S210). For example, as shown in FIG. 16, the output history processing unit 116 stores the output history information that outputs the information content in the output history storage unit 416.
Next, the output history processing unit 116 adds device lock information (step S211). The output history processing unit 116 stores the device lock information in the device lock information storage unit 413, for example, as shown in FIG. After the processing in step S211 the output history processing unit 116 returns the processing to step S201.

Next, an example of the management process by the management terminal device 50 will be described with reference to FIG.
FIG. 19 is a diagram showing an example of a management screen for campaign information according to the present embodiment.
The management processing unit 531 of the management terminal device 50 causes the display unit 52 to display a management screen as shown in FIG. 19 when managing the campaign information.

The screen G1 shown in FIG. 19A is a management screen for adding or deleting campaign information. The management processing unit 531 causes the display unit 52 to display a management screen such as the screen G1. In this case, the management processing unit 531 acquires campaign information from the campaign group information storage unit 407, the campaign group corresponding storage unit 408, and the campaign information storage unit 409 of the data server device 40 via the network NW1.

In addition, the management processing unit 531 reflects the information received by the input unit 51 in the campaign information. The management processing unit 531 requests the data server device 40 to update the added or deleted campaign information via the network NW1, and the data server device 40 corresponds to the campaign group information storage unit 407 and the campaign group. The campaign information of the storage unit 408 and the campaign information storage unit 409 is updated.
The management processing unit 531 causes the display unit 52 to display a detailed input screen such as the screen G2 shown in FIG. 19B when the "details" button is pressed on the screen G1.

In addition to the campaign information described above, the management processing unit 531 executes management processing such as information on the camera 20, information on the output device 30, and information on various groups.
The information stored in the camera group information storage unit 401, the output device group information storage unit 404, the campaign group information storage unit 407, and the campaign group compatible storage unit 408 described above is used in the output processing of the information content described above. Although not, it is used by the management process of the management terminal device 50.

As described above, the information processing device 10 according to the present embodiment includes an image processing unit 111, a campaign extraction unit 114 (content extraction unit), and a content output processing unit 115. The image processing unit 111 detects a person included in the image information captured by the camera 20 (imaging device), and is attribute information of the detected person, which is at least the demographic characteristics of the detected person and the detected person. The attribute information of the detected person including any of the behavior attribute information indicating the characteristic behavior is extracted based on the image information. When the image processing unit 111 detects the detected person, the campaign extraction unit 114 extracts the information content corresponding to the device group to which the output device 30 corresponding to the camera 20 belongs, and the image from the extracted information content. Information content that satisfies the output conditions based on the attribute information of the detected person extracted by the processing unit 111 is selected. The content output processing unit 115 outputs the information content selected by the campaign extraction unit 114 to the output device 30 corresponding to the camera 20.

As a result, the information processing apparatus 10 according to the present embodiment can output the attribute information of the detecting person and the appropriate information content according to the device group to which the output device 30 belongs. Therefore, the information processing device 10 according to the present embodiment can provide appropriate information content according to the environment in which the detected detection person and the output device 30 are placed.

Further, the information processing apparatus 10 according to the present embodiment assigns a person ID (person identification information) for identifying the detected person to the detected person newly detected by the image processing unit 111, and the person ID and the attributes of the detected person. A person registration processing unit 112 (registration processing unit) for associating information with information and storing it in the person information storage unit 410 is provided. When the detected person detected by the image processing unit 111 is already stored in the person information storage unit 410, the campaign extraction unit 114 obtains the attribute information of the detected person corresponding to the person ID given to the detected person. Obtained from the storage unit 410.

As a result, the information processing device 10 according to the present embodiment can continuously grasp the behavior of the detected person by registering the information of the detected person in the person information storage unit 410, and provides more appropriate information content. can do.

Further, the information processing device 10 according to the present embodiment is an action in which the person ID, the camera ID (imaging identification information) for identifying the camera 20, the action attribute information, and the date and time information from which the action attribute information is extracted are associated with each other. The action history processing unit 113 for storing the history information in the action history storage unit 411 is provided. The person registration processing unit 112 uses the representative action attribute information corresponding to the person ID among the action history information stored in the action history storage unit 411 as the attribute information of the detected person corresponding to the person ID, as the person information storage unit. Store in 410.

As a result, since the information processing device 10 according to the present embodiment stores the action history information in the action history storage unit 411, it is possible to provide appropriate information content in consideration of, for example, the past actions of the detected person. .. Further, the information processing device 10 according to the present embodiment can appropriately verify the effect of marketing measures (measures such as advertisements and communication contents) by storing the action history information. Further, the information processing device 10 according to the present embodiment can formulate a more effective marketing measure by analyzing the behavior history information.

Further, in the present embodiment, the content output processing unit 115 suspends the output of the selected information content when the output device 30 corresponding to the camera 20 is outputting the information content. Further, the content output processing unit 115 causes the output device 30 to output the selected information content when the output device 30 corresponding to the camera 20 is not outputting the information content.
As a result, the information processing device 10 according to the present embodiment can prevent other information contents from being output while the information contents are being output to the output device 30.

Further, in the present embodiment, when the image processing unit 111 detects a plurality of detected persons, the campaign extraction unit 114 selects information content that satisfies the output condition based on the attribute information representing the plurality of detected persons. For example, representative attribute information is determined by majority vote.
As a result, the information processing apparatus 10 according to the present embodiment can provide appropriate information content even when a plurality of detected persons are detected.

Further, in the present embodiment, the camera 20 belongs to one of a plurality of imaging groups having different installation environments, and the image processing unit 111 outputs different behavior attribute information according to the imaging group to which the camera 20 belongs. Extract. The image processing unit 111 is, for example, a camera group Gr1 (first group) which is a group of cameras 20 installed in the store ST and a camera group Gr2 (second group) which is a group of cameras 20 installed outside the store ST. The behavior attribute information extracted by the group) may be changed.
As a result, the information processing device 10 according to the present embodiment can extract appropriate behavior attribute information according to the environment in which the camera 20 is installed, and the difference in behavior attribute information according to the environment causes the environment. It is possible to provide appropriate information content according to the situation.

Further, in the present embodiment, the plurality of imaging groups are a camera group Gr1 (first group) which is a group of cameras 20 installed in the store ST and a camera which is a group of cameras 20 installed outside the store ST. It is a group Gr2 (second group).
As a result, the information processing device 10 according to the present embodiment can collectively grasp and centrally manage the inside of the store ST and the outside of the store ST, and can provide appropriate information content according to the environment.

Further, the information processing apparatus 10 according to the present embodiment includes an output history processing unit 116. The output history processing unit 116 indicates the output information corresponding to the information content output by the content output processing unit 115, the output identification information for identifying the output device 30 that output the information content, and the output date and time indicating the date and time when the information content was output. The output history information associated with the information is stored in the output history storage unit 416.
As a result, the information processing device 10 according to the present embodiment can appropriately verify the effect of marketing measures (measures such as advertisements and communication contents) by storing the output history information. Further, the information processing apparatus 10 according to the present embodiment can formulate a more effective marketing measure by analyzing the output history information.

Further, the information processing system 1 according to the present embodiment includes the above-mentioned information processing device 10, a plurality of cameras 20, and an output device 30 associated with the cameras 20.
As a result, the information processing system 1 according to the present embodiment has the same effect as the information processing device 10 described above, and provides appropriate information content according to the environment in which the detected detection person and the output device 30 are placed. can do.

Further, the information processing method according to the present embodiment includes an image processing step, a content extraction step, and a content output processing step. In the image processing step, the image processing unit 111 detects a person included in the image information captured by the camera 20, and is the attribute information of the detected person, which is at least the demographic characteristics of the detected person and the detected person. The attribute information of the detected person including any of the behavior attribute information indicating the characteristic behavior of the above is extracted based on the image information. In the content extraction step, when the detected person is detected by the image processing step, the campaign extraction unit 114 extracts the information content corresponding to the device group to which the output device 30 corresponding to the camera 20 belongs, and the extracted information. From the contents, information content that satisfies the output condition based on the attribute information of the detected person extracted by the image processing step is selected. In the content output processing step, the content output processing unit 115 causes the output device 30 corresponding to the camera 20 to output the information content selected by the content extraction step.
As a result, the information processing according to the present embodiment has the same effect as the information processing device 10 described above, and provides appropriate information content according to the environment in which the detected detection person and the output device 30 are placed. Can be done.

The present invention is not limited to the above embodiment, and can be modified without departing from the spirit of the present invention.
For example, in the above embodiment, the information processing device 10 has been described as one device, but the present invention is not limited to this, and the information processing device 10 may be composed of a plurality of devices. Further, for example, the image processing unit 111 of the information processing apparatus 10 may be provided in the camera 20 and distributed processing may be performed by each camera 20.

Further, in the above embodiment, the example in which the data server device 40 is one device has been described, but the present invention is not limited to this, and the data server device 40 may be composed of a plurality of devices. Further, the information processing device 10 may include a part or all of the storage unit stored in the data server device 40.

Further, a part of the storage unit stored in the data server device 40 may be integrated into one storage unit. For example, the camera group information storage unit 401 and the camera group compatible storage unit 402 may be integrated into one storage unit, and the output device group information storage unit 404 and the output device group compatible storage unit 405 may be integrated. It may be integrated into one storage unit. Further, the campaign group information storage unit 407 and the campaign group correspondence storage unit 408 may be integrated into one storage unit.

Further, in the above embodiment, the example in which the camera 20 and the output device 30 have a one-to-one correspondence has been described, but the camera 20 and the output device 30 have a plurality of one-to-one (or one-to-many) correspondence. It may be.

Further, in the above embodiment, when a plurality of detected persons are detected, an example in which the attribute information representing the line is determined by a majority vote has been described, but the present invention is not limited to this. For example, the attribute information of the person closest to the camera 20 that detected the person may be determined, or priority is given to a plurality of detected persons, and the information contents corresponding to all the detected persons are sequentially assigned. It may be output from the output device 30.

Further, in the above embodiment, an example in which the output history processing unit 116 stores the output history information in the output history storage unit 416 has been described, but the information processing apparatus 10 charges the advertisement fee based on the output history information. Aggregation and billing may be performed.

Further, in the above embodiment, an example of detecting gender and age (age) has been described as an example of the demographic characteristics of the detected person, but the present invention is not limited to this, and for example, height, weight, and the like. Other characteristic information such as race and ethnicity may be detected and used.

Further, the camera group and the device group are not limited to the above-described embodiment, and other groups may be applied. For example, the camera group is not limited to the camera group inside the store and the camera group outside the store, and a camera group may be set for each sales floor, or a different camera group may be set for each store. , The information processing system 1 according to the present embodiment may be applied to a plurality of stores. The same applies to device groups.

Each configuration included in the above-mentioned information processing system 1 has a computer system inside. Then, a program for realizing the functions of each configuration included in the above-mentioned information processing system 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed. Therefore, the processing in each configuration provided in the above-mentioned information processing system 1 may be performed. Here, "loading a computer system a program recorded on a recording medium and executing it" includes installing the program in the computer system. The term "computer system" as used herein includes hardware such as an OS and peripheral devices.
Further, the "computer system" may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, and a dedicated line. Further, the "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, or a CD-ROM, or a storage device such as a hard disk built in a computer system. As described above, the recording medium in which the program is stored may be a non-transient recording medium such as a CD-ROM.

The recording medium also includes a recording medium provided inside or outside that can be accessed from the distribution server for distributing the program. It should be noted that the program may be divided into a plurality of parts, downloaded at different timings, and then combined with each configuration provided in the information processing system 1, or the distribution server for distributing each of the divided programs may be different. Furthermore, a "computer-readable recording medium" holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that serves as a server or client when the program is transmitted via a network. It shall include things. Further, the above program may be for realizing a part of the above-mentioned functions. Further, a so-called difference file (difference program) may be used, which can realize the above-mentioned functions in combination with a program already recorded in the computer system.

Further, a part or all of the above-mentioned functions may be realized as an integrated circuit such as LSI (Large Scale Integration). Each of the above-mentioned functions may be made into a processor individually, or a part or all of them may be integrated into a processor. Further, the method of making an integrated circuit is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor. Further, when an integrated circuit technology that replaces an LSI appears due to advances in semiconductor technology, an integrated circuit based on this technology may be used.

1 Information processing system 10 Information processing device 11 Control unit 20, 21, 22 Cameras 30, 31, 32 Output device 40 Data server device 50 Management terminal device 51 Input unit 52 Display unit 53 Terminal control unit 111 Image processing unit 112 Person registration processing Unit 113 Action history processing unit 114 Campaign extraction unit 115 Content output processing unit 116 Output history processing unit 401 Camera group information storage unit 402 Camera group compatible storage unit 403 Camera information storage unit 404 Output device group information storage unit 405 Output device group compatible storage 406 Output device information storage 407 Campaign group information storage 408 Campaign group compatible storage 409 Campaign information storage 410 Person information storage 411 Action history storage 412 Camera device compatible storage 413 Device lock information storage 414 Content information storage Department 415 Content file storage unit 416 Output history storage unit 531 Management processing unit NW1 Network

Claims (10)

A person included in the image information captured by the image pickup device is detected, and the attribute information of the detected person, which is at least the demographic characteristics of the detected person and the behavioral attribute indicating the characteristic behavior of the detected person. An image processing unit that extracts attribute information of a detected person including any of the information based on the image information, and an image processing unit.
When the image processing unit detects the detected person, the information content corresponding to the device group to which the output device corresponding to the imaging device belongs is extracted, and the image processing unit extracts the information content from the extracted information content. A content extraction unit that selects information content that satisfies the output conditions based on the extracted attribute information of the detected person, and a content extraction unit.
An information processing device including a content output processing unit that outputs the information content selected by the content extraction unit to the output device corresponding to the image pickup device. Person identification information for identifying the detected person is added to the detected person newly detected by the image processing unit, and the person identification information and the attribute information of the detected person are associated and stored in the person information storage unit. Equipped with a registration processing unit
When the detected person detected by the image processing unit is already stored in the person information storage unit, the content extracting unit of the detected person corresponds to the person identification information given to the detected person. The information processing device according to claim 1, wherein the attribute information is acquired from the person information storage unit. An action of storing the action history information in which the person identification information, the image pickup identification information for identifying the image pickup device, the action attribute information, and the date and time information from which the action attribute information is extracted are stored in the action history storage unit. Equipped with a history processing unit
Among the action history information stored in the action history storage unit, the registration processing unit uses the representative action attribute information corresponding to the person identification information as the attribute information of the detected person corresponding to the person identification information. The information processing apparatus according to claim 2, wherein the information processing device is stored in a person information storage unit. The content output processing unit
When the output device corresponding to the image pickup device is outputting information content, the output of the selected information content is suspended.
The invention according to any one of claims 1 to 3, wherein the selected information content is output to the output device when the output device corresponding to the image pickup device is not outputting the information content. Information processing equipment. The content extraction unit
Claims 1 to 4 are characterized in that, when the image processing unit detects a plurality of the detected persons, information content satisfying the output conditions based on the attribute information representing the plurality of detected persons is selected. The information processing apparatus according to any one of the above. The imaging device belongs to one of a plurality of imaging groups having different installation environments.
The information processing apparatus according to any one of claims 1 to 5, wherein the image processing unit extracts different behavior attribute information according to the imaging group to which the imaging device belongs. .. The plurality of imaging groups are characterized in that they are a first group, which is a group of the imaging devices installed in the store, and a second group, which is a group of the imaging devices installed outside the store. The information processing device according to claim 6. Corresponds to the output information corresponding to the information content output by the content output processing unit, the output identification information for identifying the output device that output the information content, and the output date and time information indicating the date and time when the information content was output. The information processing apparatus according to any one of claims 1 to 7, further comprising an output history processing unit that stores the attached output history information in the output history storage unit. The information processing apparatus according to any one of claims 1 to 8.
With the plurality of the imaging devices
An information processing system including the output device associated with the image pickup apparatus. The image processing unit detects a person included in the image information captured by the imaging device, and is the attribute information of the detected person, which is at least the demographic characteristics of the detected person and the characteristic of the detected person. An image processing step of extracting the attribute information of the detected person including any of the behavior attribute information indicating the behavior based on the image information, and
When the detected person is detected by the image processing step, the content extraction unit extracts the information content corresponding to the device group to which the output device corresponding to the imaging device belongs, and from the extracted information content. , A content extraction step that selects information content that satisfies the output conditions based on the attribute information of the detected person extracted by the image processing step.
An information processing method characterized in that the content output processing unit includes a content output processing step of outputting the information content selected by the content extraction step to the output device corresponding to the imaging device.

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