WO2020065919A1

WO2020065919A1 - Investigation system and investigation method for invigorating shopping street

Info

Publication number: WO2020065919A1
Application number: PCT/JP2018/036264
Authority: WO
Inventors: 枝里川中子
Original assignee: 枝里川中子
Priority date: 2018-09-28
Filing date: 2018-09-28
Publication date: 2020-04-02
Also published as: JP7229564B2; SG11202108163XA; JPWO2020065919A1

Abstract

[Problem] The purpose of the present invention is to provide a device for analyzing whether each resident space is occupied by an appropriate tenant or not. [Solution] The present invention provides an investigation system for invigorating a shopping street, an investigation system having functions for: acquiring video of passengers coming and going on an inflow path to a shopping street; accumulating passenger information by estimating, from the acquired video, gender and age of each photographed passenger in association with recorded time; holding, for each store resident space in the shopping street, store information including the presence/absence of a resident store, a category of the store when the resident space is occupied, opening hours of the store when the resident space is occupied, and gender and age of an assumed customer segment of the store when the resident space is occupied; and calculating temporal changes of the number of passengers and the number of active stores by using the accumulated passenger information and the held store information.

Description

Investigation system and method for revitalization of shopping street

The present invention relates to a survey system and a survey method for activating a shopping street.

In a shopping mall including a shopping mall, it is desirable that an appropriate tenant enters for each occupied space, and that appropriate products and services be sold and provided at appropriate times. If the analysis or judgment of the appropriateness is wrong, it will become a shopping street with only tenants closed, such as a so-called shutter street.

Shopping malls including shopping malls are characterized by the attributes of passers, the amount of traffic, and the temporal distribution of passers, depending on the area where the mall is located. Nevertheless, until now, it was only an independent analysis of how the store thrived for each occupancy space. Then, it was difficult to activate each store in the mall and the entire mall.

As a prior art, the following Patent Document 1 can be mentioned at best.

Patent No. 5438859

Patent Literature 1 is a customer layer analysis device that analyzes the customer layer of customers who visit a store. As a specific configuration, a customer layer of a person who appears in an imaging area set to image a customer heading from a guidance waiting area near a store entrance to a customer seat from the front is determined. Information is obtained, and it is determined from the behavior form of the person appearing in the imaging region whether or not the person is the customer to be analyzed. Aggregation means for subjecting the customer segment information to a target, and generating customer segment trend information relating to the tendency of change in the customer segment-based number based on the time-series acquired customer segment-based number of persons in a predetermined period unit.

However, the invention described in Patent Literature 1 is intended for “customers who have visited a store”, so that even a passerby who has the potential to visit the store, as long as it does not come to the store, It was not the target of the analysis and could not achieve its goal of developing a new customer base that was overlooked in the first place.

Therefore, according to the technology described in Patent Literature 1, although it is information that contributes to analysis in order for the tenant to efficiently operate the store toward the existing customer group, it seeks to develop new customers, and the shopping district including the shopping mall The problem remains that it does not lead to activation when viewed as a whole.

The present invention seeks to cultivate a new customer class that has been overlooked, such as a passerby who has the potential to visit a store, and to activate this when viewed as a whole shopping street. Therefore, an object of the present invention is to provide a system capable of improving the entire shopping district.

In order to achieve such an object, the present invention provides a pedestrian observation camera for acquiring an image of a pedestrian traveling on an inflow route of a person to a shopping street, and an image acquisition for acquiring an image of a pedestrian observation camera. A gender age estimating unit for assigning passer identification information for each passerby taken from the acquired video and estimating the gender and age of the passerby taken in association with the shooting time, and passer identification information And a passer information storage unit for storing passer information that is information relating the estimated gender and age of the passer associated with the shooting time, and occupancy space identification information for each store occupancy space in the shopping street. Store information including the presence or absence of a store occupancy, the business type of the store if occupied, the business hours of the store if occupied, and the gender and age of the assumed customer demographic of the store if occupied Store information A shopping street having a storage unit and a passer store opening time change calculating unit that calculates a time change between the number of passers and the number of store openings using the stored passer information and the stored store information. Provide a survey system for activation.

Next, in addition to the above features, a passer age / sex distribution information acquisition unit that acquires passer age and gender distribution information indicating a distribution of the passers using the accumulated passer information, Gender of the expected customer demographic of the store using the information of the presumed customer, and the expected customer demographic age / gender distribution information acquisition unit that obtains the distribution of the expected customer demographic age / sex distribution indicating the age distribution. Provided is a survey system for activating a shopping mall, which further includes an age and gender comparison output unit that outputs information and the obtained assumed customer group age and gender distribution information in a comparable manner. Then, regardless of whether or not the business format is held in the store information storage unit, a business format data storage unit that stores business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format. Based on the obtained passer age and gender distribution information and the stored store information, the stored business format data is a recommended store that is a business format of a store to be occupied when there is a store space that is not occupied. Provided is a survey system for activating a shopping district further including a recommended-enterprise-store-type acquisition unit for acquiring a type of business, and an entry-recommended-store type of business output unit for outputting the acquired recommended-store type. In addition, based on the acquired passer-age gender distribution information, the acquired expected customer demographic age-gender distribution information, and the retained business format data, the appropriateness of the business format indicated by the store information of the occupied store space is determined. A business form appropriateness index calculation rule holding unit that holds a business form appropriateness index calculation rule, which is a rule for calculating the indicated index, and the obtained passer-age gender distribution information and the obtained expected customer demographic age-gender distribution information; Based on the stored business format data, the appropriateness of the business format indicated by the store information of the occupied store using the store information of the occupied store space and the stored business format adequacy index calculation rule And a business system appropriateness index calculating unit for calculating an index indicating the following.

An operation method corresponding to such an inspection system and an inspection program described in a read-executable manner in an inspection system device as a computer are provided.

From the above, from the viewpoint of cultivating new customers that had been missed, such as passers-by that had the potential of coming to the store originally, and revitalizing this when viewed as a whole in the shopping district , It is possible to provide a system capable of improving the entire shopping district.

FIG. 2 is a diagram illustrating a functional configuration of a survey system according to the first embodiment. FIG. 2 is a diagram illustrating a hardware configuration of a survey system according to the first embodiment. FIG. 5 is a diagram illustrating a processing flow of the investigation system according to the first embodiment. FIG. 7 is a diagram illustrating a functional configuration of a survey system according to a second embodiment. FIG. 7 is a diagram illustrating a hardware configuration of a survey system according to a second embodiment. The figure which shows the flow of a process of the investigation system in Example 2. FIG. 9 is a diagram illustrating a functional configuration of a survey system according to a third embodiment. FIG. 13 is a diagram illustrating a hardware configuration of a survey system according to a third embodiment. The figure which shows the flow of a process of the investigation system in Example 3. The figure which shows the functional structure of the investigation system in Example 4. FIG. 14 is a diagram illustrating a hardware configuration of a survey system according to a fourth embodiment. The figure which shows the flow of a process of the survey system in Example 4. Diagram showing the flow of people in a shopping street Diagram schematically showing the shopping street viewed from above As an example, a diagram that outlines how to estimate the gender and age of passers-by Diagram showing an example of accumulated passer-by information A diagram showing an example of the contents of the stored shop information Diagram showing an example of business format data to be retained Diagram showing an example of business format adequacy index calculation rules and actual calculation contents Diagram showing an example of the content of the business format appropriateness index calculation related to age Diagram showing an example of the content of the business format appropriateness index calculation related to age Diagram showing an example of a graph in which the horizontal axis represents the time axis and the vertical axis represents the number of passers and the store opening rate for the relationship between the number of passers and the store opening rate in a specific passer attribute.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The content of the present invention is not limited only to the following embodiments, and various changes can be made without departing from the gist of the present invention.

The mutual relationship between the embodiments and the claims is as follows. Mainly, the description of the first embodiment relates to claim 1, the description of the second embodiment relates to claim 2, the description of the third embodiment relates to claim 3, and the description of the fourth embodiment relates to claim 4.

The present embodiment obtains images of passers-by who pass on the inflow route of people into the shopping street, estimates the sex and age of each passer-by taken from the acquired video by associating them with the shooting time, and Accumulates information and determines whether or not a store is occupied for each store occupancy space in the shopping street, the type of store if occupied, the business hours of the store if occupied, and the estimated customer of the store if occupied. A function for storing store information including the gender and age of each layer and calculating the time change between the number of passers and the number of store openings using the stored passer-by information and the stored store information. This is a survey system for activating shopping malls.

FIG. 13 is a diagram showing the flow of people in a shopping street. In the present invention, the “shopping street” includes a street where many shops are arranged, but is not limited thereto, and the flow of people (regardless of whether it is linear or dispersive) within one building. There are multiple tenant spaces, department stores, shopping centers, outlet parks, side streets, bar streets, multi-purpose commercial facilities, open spaces with multiple stores, guards with multiple stores, Monzen-cho, approach It is defined as broadly including the temporary night streets of festivals, etc. That is, it widely includes a space where a plurality of stores are arranged. FIG. 13 shows an example of a street where many shops are arranged, and a pedestrian passes through a street where many shops “SHOP” are lined up from a station section “STATION”. In this way, the flow of passersby changes depending on, for example, the presence of a station or the like. Furthermore, the flow and attributes of passers-by also change depending on the time zone.

An object of the present invention is to provide a survey system for activating a shopping street based on information on the number and attributes of passers-by who pass through the shopping street on a time axis.

Hereinafter, a functional configuration, a hardware configuration, and a processing flow of a survey system for activating a shopping street in the present embodiment will be sequentially described.

<Functional configuration>
FIG. 1 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment. The survey system according to the present embodiment includes a passerby camera (0101), a video acquisition unit (0102), a gender age estimation unit (0103), a passer information storage unit (0104), a store information storage unit (0105), and a passerby store. It has a store opening time change calculation unit (0106). Hereinafter, regarding the functional configuration, the contents of each function will be specifically described.

The “passenger observation camera” is a function for acquiring an image of a pedestrian who travels on the inflow route of a person into the shopping district. The pedestrian observation camera is installed at a relatively high position in order to prevent the camera from being broken down or damaged by mischief of a person. However, since the face is an important element of photographing, it is preferable to set the focus of the pedestrian observation camera at a relatively long distance in order to capture the face relatively clearly. Otherwise, you can only shoot above the passerby's head. For example, it is preferable to set so as to capture an image at a position of about 10 m or more and 20 m or less.

Here, the “inflow route” refers to a route through which people enter and exit the shopping mall, and need not be one. Generally, the “inflow path” also functions as the outflow path. Therefore, a plurality of passerby cameras may be installed in one shopping street. In some cases, a single shopping mall is composed of a plurality of small shopping streets. In this case, once a pedestrian who has flowed into the large inflow route is once photographed by a passerby camera, the traffic flows into the small shopping street. In doing so, the same person may be observed again by a passerby camera and analyzed.

Further, in principle, it is assumed that a configuration is adopted in which the inflow of the pedestrian into the shopping street is caught and passed to post-processing. For example, the face of an incoming pedestrian can be captured, but the face of an outgoing pedestrian is not captured, and an image of only the incoming pedestrian is transmitted to an image acquisition unit described later. May be performed. Also, all images of passers-by are transmitted to the image acquisition unit, but the image acquisition unit is configured to output only the information of passers-by to the gender age estimating unit, which will be described later, only for the inflowing passers-by. May be.

Further, it is also possible to configure so that the information of the pedestrian in both directions is processed by distinguishing the inflow and the outflow. With this configuration, it is possible to acquire the time spent in the shopping street of each passerby as information, and it is possible to analyze more detailed information of the passersby in the shopping street. In addition, if a passerby observation camera is installed in both directions at a specific position in the middle of the shopping street, the residence time of each passerby at a predetermined block in the shopping street can be acquired and distributed to the shopping street. When the analysis is performed together with the attribute information of the store, the association between the staying time of each passerby and the attribute of the staying store can be obtained. Furthermore, when the distance of the predetermined block is also analyzed, the moving speed of the pedestrian in the predetermined block can be grasped. Alternatively, the average passing speed of passers-by per store is calculated based on the number of stores in the block, or the average passing speed of passers-by is calculated based on the visitor space of stores in the block. can do. From this and the attributes of the stores in the block, it is also possible to calculate the average passing speed of the pedestrians per store attribute or store attribute × store area from the store attributes. As a result, it becomes possible to analyze and calculate store attributes that are interesting to passers-by.

FIG. 14 is a diagram schematically showing a shopping street viewed from above. There is one passage “SHOPPING @ STREET” (note that the passage is one here, but if there are two or more passages, of course, there is no problem, and within the scope of the present invention. is there.). And there are 18 entry spaces from "A" to "R" along the one road. Here, a description will be given assuming that the flow of passers-by flows from the direction in which the occupied spaces of "R" and "Q" exist to the direction in which the occupied spaces of "A" and "H" exist. As for the “passerby camera”, there is a camera called “CAMERA1” on the entrance side of the shopping street in view of the flow of passersby, and there is a camera called “CAMERA2” on the exit side of the shopping street in view of the flow of passersby. I do. The existing place is not limited to the entrance and the exit of the shopping street, and may be installed at a predetermined interval, such as at every two entering spaces. In addition, an installation mode may be adopted in which one location is photographed from a plurality of directions so that the gender and age of the passerby can be easily estimated.

The “image acquisition unit” is a function for acquiring an image of a pedestrian observation camera. The "video acquisition unit" may be provided with a configuration for eliminating duplication of passers-by. Specifically, if the processing is not performed so that the image of only the passerby flowing in by the passerby observation camera is transmitted to the image acquisition unit, the image of the specific passerby is duplicated. The image acquisition unit may have a configuration in which, for example, only the inflowing pedestrian is acquired and the outflowing pedestrian is not acquired. In particular, it is possible to identify the same person by using the distance ratio of eyes, nose, teeth, etc. of the face based on the face image of the passerby, and the person who stays for a long time or turns around after looking back It is preferable that a configuration is adopted such that a person is doubly identified and the same person is not double counted or recognized as another person.

The “sex-age estimation unit” has a function of adding passer-by identification information to each passer-by photographed from the acquired video and estimating the sex and age of the passer-by photographed in association with the photographing time.

FIG. 15 is a diagram showing an outline of a method for estimating the gender and age of a passer-by as an example. For example, in a large frame, features of a passerby are extracted from a face part “FACE” and a body part “BODY”. More specifically, for the face part, the coordinates of the left eye “x2 · y2” as “L · eye”, the coordinates of the left eye as “R · eye”, “x2 · y2”, and “nose” are set. The coordinates of the nose “x1 · y1”, the coordinates of the mouth “x5 · y5” as “mouth”, and the coordinates of the left ear “x3 · y3” as “Lear” are obtained, and the coordinates are also obtained. The characteristics of age and gender appear. In addition, whether the contour of the face is rounded (female tendencies), angular (male tendencies), bangs covering the forehead is high (female tendencies) or low (male tendencies) As for the body parts, the overall balance, for example, whether the back muscles are stretched (young), the hips tend to bend (elderly), the way of walking, etc., for example, whether the stride length is large (young male tendency) or small (female The characteristics of age and gender appear in such cases as "trend" and "very small" (trend of elderly). In addition, whether a passer-by possesses a high tendency to be female or a high tendency to male can be used to infer gender. For example, if the bag in hand is a handbag, the tendency of young women is increased, and if the bag is a business type, the tendency of young men is increased. Higher heels in shoes are more likely to be young women, while lower heels are more likely to be men or older women. The above characteristics are analyzed as a whole, and the gender and age of the passer are estimated by associating the passer identification information with the shooting time information. The age and gender may be configured such that the AI is initially educated based on the image information and the labeling attached to the image information, and the AI is used for automatic discrimination. In this case, the image information obtains values for each of several hundred identification elements, and forms a gender and age discrimination space of several hundred dimensions by labeling, and uses this space to determine gender and age from individual images. A technique of estimating can also be used.

The estimated age is roughly described in the following description of the specification, such as “VY” (very young), “Y” (young), “M” (middle), “O” (old), but of course. It may be in units of 10 years, such as "teens", "20s", "30s", or may be more detailed in units of one year.

The “passer information storage unit” has a function of storing passer information, which is information that associates passer identification information with the estimated gender and age of the passer associated with the shooting time.

FIG. 16 is a diagram illustrating an example of the accumulated passer-by information. The photographing time, passer-by identification information, gender and age information are stored in association with each other. For example, for a passer with passer identification information (ID) of “020068”, the shooting time is “18:36” (18:36), the gender is “male”, and the age is “M”. For the passer with the passer identification information (ID) of “020069”, the shooting time is “18:36” (18:36), the gender is “female”, and the age is “M”. For the passer with the passer identification information (ID) of “020070”, the shooting time is “18:36” (18:36), the gender is “male”, and the age is “Y”. For the passer with the passer identification information (ID) of “020071”, the shooting time is “18:38” (18:38), the gender is “male”, and the age is “O”. The gender and age are the gender and age inferred from the passer-by image by the gender age estimator.

The “store information holding unit” is provided with occupancy space identification information for each occupancy space of the above-mentioned shopping mall, and determines whether or not the occupancy of the occupancy of the store, the type of the occupancy of the premises, Is a function of storing store information including the business hours of the store and the gender and age of the assumed customer segment of the store when the store is occupied.

FIG. 17 is a diagram illustrating an example of the content of the stored shop information. There are items such as "SHOP @ ID", "business type", "M / W", "VYYMO", "0-6-12-18-24", and "store name". Of these, "SHOP @ ID" indicates the occupancy space identification information, "M / W" is the gender of the assumed customer group, "M" is male, "W" is female, and "VY, Y, M, O". "VY" is very young, for example 3 to 15 years old, "Y" is young, for example 16 to 22 years old, "M" is middle age, 23 to 50 years old, "O" is old age , Meaning 51 years old or older. "0-6-12-18-24" indicates business hours on a time axis from 0:00 to 24:00.

Looking at the specific contents, if you look at the entry space with “SHOP ID” of “A”, there is a store “JENS” with “business type” of “glasses”, and the store has all ages. Of men and women are assumed customers, and business hours are from 10:00 to 20:00.
Next, in the occupied space with “SHOP ID” “B”, there is a store “B & H” with “Fast Fashion (Unisex)” in “Business Category”, and the store is assumed to be men and women of VY and Y. It is a customer segment, and business hours are from 12:00 to 19:00.
Next, in the occupied space with "SHOP ID" of "C", there is a store "Goro" with "Industry" of "Ramen", and the store is assumed to be men of VY, Y and M as assumed customers. Business hours are from 18:00 to 22:00.
Next, in the occupied space where the "SHOP ID" is "D", there is a store "Jewelry Star" whose "industry" is "accessories", and the store has female customers of VY and Y as the assumed customers. , Business hours are from 12:00 to 20:00.
Next, in the occupied space with “SHOP ID” “E”, there is a store “Forever16” with “Fast fashion (ladies)” in “Business type”, and the store is assumed to be a VY or Y woman. The business hours are from 12:00 to 20:00.
Next, in the occupied space with “SHOP ID” “F”, there is a store “Komakiya” with “business type” “Udon”, and the store is assumed to be VY, Y or M male and female customers. And business hours are from 10:00 to 18:00.
Next, in the occupancy space with "SHOP ID" of "G", there is a store "wood stock" with "business type" of "bag", and the store is assumed to be men and women of all ages, Business hours are from 14:00 to 20:00.
Next, in the occupied space with "SHOP ID" of "H", there is a store "Yamaguchiya" with "business type" of "suit", and the store has men of M and O as the assumed customer class. , Business hours are from 14:00 to 20:00.
Next, in the occupied space with "SHOP ID" of "I", there is a store "Robson" with "industry" of "jeans", and the store has men and women of VY and Y as assumed customers. Business hours are from 10:00 to 18:00.
Next, in the occupied space with "SHOP ID" of "J", there is a store "Banzai" with "business type" of "Yakiniku". The time is from 18:00 to 23:00.
Next, in the occupied space with "SHOP ID" of "K", there is a store "Nekamamatsu" with "business type" of "shoes (ladies)", and the store is assumed to be women of VY, Y and M. It is a customer segment, and business hours are from 13:00 to 19:00.
Next, in the occupied space where the "SHOP ID" is "L", there is a store "Big Radio" whose "business type" is "home appliances". , Business hours are from 12:00 to 20:00.
Next, in the occupied space with "SHOP ID" of "M", there is a store "Kishuya" with "business type" of "Bookstore", which stores men and women of Y and M as assumed customers. , Business hours are from 12:00 to 20:00.
Next, in the occupied space with “SHOP ID” “N”, there is a store “Sushi Gold and Silver” with “Business Type” “Sushi”, and the store is assumed to be men and women of Y, M and O. The business hours are from 18:00 to 24:00.
Next, in the occupied space with "SHOP ID" of "O", there is a store "ABD Mart" with "business type" of "shoes", and the store is assumed to be men and women of VY, Y and M. And business hours are from 12:00 to 19:00.
Next, the occupancy space where the “SHOP ID” is “P” is vacant.
Next, the occupancy space where the “SHOP ID” is “Q” is vacant.
Next, in the occupied space with “SHOP ID” “R”, there is a store “Kinza Parra” with “Business” “Sweets”, and the store is assumed to be VY, Y or M female customers. The business hours are from 9:00 to 20:00.
Store information is stored as described above. The location of the store can be confirmed by “SHOP ID”.

The “passer store opening time change calculation unit” is a function of calculating a time change between the number of passers and the number of store openings using accumulated passer information and stored store information. .

Here, the “number of stores opened” includes, in addition to the number of stores that have been opened, the opening ratio of all or a part of the tenants occupying the stores in the shopping district as a population. Furthermore, "passenger number" is the number of people perceived by the passer-by observation camera itself, as well as the ratio of 100% to the maximum number of passers-by-hours in the shopping district (unit of ratio is 100%). , 1% unit, 5% unit, 10% unit, 100% as 1.0, and the ratio to these may be shown.) The unit for counting the number of passers may be processed not in units of one person but in units of five people or ten people. The calculation of the time change can be performed using various time units such as 1 minute unit, 5 minute unit, 10 minute unit, 30 minute unit, and 60 minute unit. Also, by outputting the number of passers by gender and age of passers-by, it is possible to compare with the number of stores opened by time of the store, and to output and compare by store business type and assumed customer class.

FIG. 22 shows an example of a graph in which the horizontal axis represents the time axis and the vertical axis represents the number of passers-by and the store opening rate of the store in relation to the number of passers-by and the store opening rate in a specific passer-attribute of “teen female”. FIG. According to this graph, for example, the store opening rate at 13:00 is 100%, but the number of “teenage female” passengers in the time zone is 24. On the other hand, the opening rate of the store at 18:00 is about 70%, and the number of “teenage female” passengers in that time zone is 120. As a result, it is possible to observe a gap between the number of passers and the number of store openings in the shopping district. In other words, it is necessary to open the most stores during the time period when the number of passers is the largest, but it is easy to see when the number of people is not so. This is the most basic data for revealing the problems of the shopping district.

<Other history management>
The gender age estimating unit may have a function of uniquely identifying the person from the face image of the passerby. Unique means unique, meaning that once identified, it is identifiably identified with other passer-by image information. Then, it is conceivable that the passer information storage unit stores the passer as unique history information in association with the unique identification result. Therefore, when the passers once accumulated in the history pass through the shopping street at a later date, it is determined by referring to the history that the same person is again passing through the shopping street. Then, it may be configured to perform a process of updating the history stored for the person with the traffic history of the shopping mall at a later date. Furthermore, the history information of this passerby is not only the date, time, and day of the week, but also events in the shopping mall related to the date and time, weather, and other events that affect the traffic of the shopping street (nearby It is preferable that the information be held in association with a festival parade in the town, an economic situation such as suspension of operation due to a train accident, a stock market crash, a nearby concert or drama, or a location on a television station. Further, the date and time or the total sales of the shopping street on that day, the sales of each store in the shopping street, and the like may be associated with each other.

<Notice of each repeat customer to each store>
For a pedestrian in a shopping street, the entire shopping street can be photographed by a camera, or a function of tracking a smartphone or the like can be used to determine how the user has moved in the shopping street. Then, it is also conceivable that the behavior of the person (uniquely identified) can be obtained. For example, it is conceivable to configure so that which store in the shopping street was visited and how many times, and as the store information, the product and the amount of money purchased at the time of the visit can be associated with each other. It is preferable to accumulate such behavior attributes as the history information. When a passerby is recognized, the history information of the passer is searched and the attribute is acquired. It is conceivable that a store having the same attribute as the visited store, or a passer with a visit history only to the visited store itself is notified that it has entered the shopping district. As a result, each store can make preparations for selling and can operate the store efficiently.

<Other statistical analysis>
It is also conceivable to statistically analyze the history of passers-by in accordance with passer-by attributes and the like. By performing statistical analysis, it is possible to predict what kind of action a passer-by will take in a shopping mall according to various attributes. Statistical analysis can also be used to find factors that are lacking in the shopping district. In addition, it becomes possible to predict the inflow of passers-by into the mall in the future over time according to passer-by attributes, events, weather forecasts, and the like. For example, if the condition "sunny weather fine, November 23 (Tuesday), no event" is input, statistical analysis results predict inflow, retention, and sales of passers-by stratified by age and gender. It is possible to calculate prediction and the like.

<Matters related to embodiments described below>
In the embodiment described later, an example of calculating a recommended store to be moved in or calculating the appropriateness of the business type of the tenant store will be described. Changes, the effect on sales at each store, the expected sales of newly occupied stores, and the sales of stores with changed business formats, etc., are based on the information in the database that stores historical information on passers-by. It can be calculated by performing statistical processing, and such a function can be provided in the present survey system.

<Hardware configuration>
The hardware configuration of the investigation system according to the present embodiment will be described with reference to the drawings.

FIG. 2 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment. As shown in the figure, the investigation system in this embodiment includes a “CPU (Central Processing Unit)” (0201) for performing various arithmetic processing and a “main memory” (0202). In addition, an “HDD” (0203) for holding predetermined information and a “network I / F (interface)” (0204) for transmitting / receiving information to / from an external device (0206) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (0205), and perform transmission / reception and processing of information. The external devices include an optical device that constitutes a pedestrian observation camera, a microphone that captures the sound of a shopping street (analyzes the voices of people in the shopping street and the clerk's voice after recording), a display, a keyboard, an input pad, and an external device. Storage device, Internet terminal device, motion sensor (detects people entering and exiting stores), GPS system (measuring terminal positions included in distribution items in shopping streets, and measuring the movement of people in the shopping streets) Observation), street speakers in shopping streets (calling to passers-by in shopping streets), smartphones, tablets, mobile terminal communication functions (push information to smartphones of registered passers-by, etc.), location information beacon systems (shopping streets) Of the pedestrian in detail from the beacon detection device of the pedestrian). The same applies to the following embodiments.

Here, the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program. A plurality of addresses are assigned to each of the "main memory" and the "HDD", and programs executed by the "CPU" exchange data by specifying and accessing the addresses. It is possible to perform processing. In this embodiment, the programs stored in the “main memory” are a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store opening time change calculation program. is there. The “main memory” and the “HDD” store passer image, passer information which is information relating passer identification information, shooting time, gender and age, store information, and the like.

The “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age. On the other hand, a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied. Then, a passer store opening time change calculation program stored in the "main memory" is executed, and the number of passers and the opening of the store are determined using the accumulated passer information and the stored store information. Calculate the time change with a number.

<Process flow>
FIG. 3 is a diagram illustrating a flow of processing when the survey system according to the present embodiment is used. As shown in FIG. 3, a processing method including a video acquisition step (S0301), a gender age estimation step (S0302), a passer information accumulation step (S0303), and a passer store opening time change calculation step (S0304). It is. In these processing methods, occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied. In this case, a survey system for activating a shopping street having a store information holding unit that holds store information including the gender and age of the assumed customer group of the store is executed.

The “image acquiring step” is a step of acquiring an image of a pedestrian who travels on the inflow route of the person into the shopping street.

The “gender age estimation step” is a step of assigning passer identification information to each passerby photographed from the acquired video and estimating the sex and age of the passerby photographed in association with the photographing time.

The “passer information storing step” is a step of storing passer information which is information in which the passer identification information and the estimated gender and age of the passer associated with the photographing time are associated.

The “passer store opening time change calculation step” is a stage of calculating a time change between the number of passers and the number of store openings using the accumulated passer information and the stored store information. .

<Summary>
From the above, from the viewpoint of cultivating new customers that had been missed, such as passers-by that had the potential of coming to the store originally, and revitalizing this when viewed as a whole in the shopping district , It is possible to provide a system capable of improving the entire shopping district.

In the present embodiment, in addition to the features of the first embodiment, passer age and gender distribution information indicating the gender and age distribution of passers is obtained using accumulated passer information, and the stored stores are obtained. This is a survey system for revitalizing shopping streets, which obtains estimated customer demographic age and gender distribution information indicating the gender and age distribution of the assumed customer demographic of the store using the information and outputs them in a comparable manner.

Hereinafter, a functional configuration, a hardware configuration, and a processing flow of the investigation system according to the present embodiment will be sequentially described.

<Functional configuration>
FIG. 4 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment. The survey system in this embodiment includes a passerby camera (0401), a video acquisition unit (0402), a gender age estimation unit (0403), a passer information storage unit (0404), a store information holding unit (0405), and a passerby store. It has a store opening time change calculation unit (0406), a passer age and gender distribution information acquisition unit (0407), an assumed customer demographic age and gender distribution information acquisition unit (0408), and an age and gender comparison output unit (0409). Hereinafter, the contents of each function will be specifically described. Except for the passer age / gender distribution information acquisition unit, the assumed customer demographic age / gender distribution information acquisition unit, and the age / sex comparison output unit, the functions are the same as in the first embodiment. The description will be limited to the functions of the assumed customer demographic age / sex distribution information acquisition unit and the age / sex comparison output unit.

The “passer age and gender distribution information acquisition unit” has a function of acquiring passer age and gender distribution information indicating the distribution of the passer's gender and age using the accumulated passer information.

The “estimated customer demographic age / gender distribution information acquisition unit” is a function that uses the stored store information to acquire the expected customer demographic and gender distribution information indicating the distribution of the expected customer demographics of the store and the age distribution. . Regarding the number of assumed customers at a store, for example, in terms of gender, out of the total number of stores, the number of stores with men as assumed customers, the number of women as assumed customers, or the number of assumed customers The number may be based on the degree of importance or the attributes of actual past visitors. Further, for example, the age may be a number based on the degree of importance of the assumed customer or the attribute of the actual past visitor, as well as whether or not the age is targeted as a business strategy of the store.

The “age / sex comparison output unit” has a function of outputting the acquired passer age / sex distribution information and the acquired expected customer demographic / age / sex distribution information in a comparable manner.

The content of the comparison output may have various comparison output forms. The simplest is to compare the age distribution of the total number of passers-by in the shopping street within a given period with the expected customer's age distribution of all stores in the shopping street, This is to compare the gender distribution of expected customers. In addition, by mixing both, the distribution of sex and age of all passers-by may be compared with the distribution of sex and age of expected customers of all stores. Further, although this is the total number within the predetermined period, the above-mentioned comparison may be performed by dividing the predetermined period by time and using the assumed customers of the stores that are opened by time as information. The time may be a specific day or an average of one month. Since the pedestrians in the shopping mall have seasonal fluctuation factors, for example, the average of each season may be compared. Seasons are from April in the new semester to June in the rainy season, from June in the rainy season to July in summer, from the end of July to the end of August including the Bon holiday, and from September to the winter season. From the end of September to the end of September, from the end of September to the beginning of December when the year-end party begins, from the beginning of December to the end of January at the end of the year, and from the end of January to the end of March when the new semester starts. Periods can be set to separate seasons by demand.

In addition to the gender and age of passers-by, the comparison between the attributes that can be obtained or estimated by image recognition of passers-by and the attributes provided based on the type of business and the type of business in the mall was based on age and gender. It is conceivable to do the same. The attributes that can be obtained from the image of passers-by include fashion trends (crossdressing, mods coat, parka, ivy look, Akiba-kei, Miss Age, Amler, American casual, American traditional, emo fashion, old fashion, Older brother, older sister, olive girl, ganguro, gibson girl, gal, gal man, grunge fashion, kobe fashion, kogal, gothic fashion, conservatory fashion, gothic lolly, surfer, cyber goth, cyber fashion, sap, Salon, Street Fashion, Slowney, Sloane Fashion, Sweater Girl, Center GUY, Deta, Dandy, Delicer, Traditional, Nipokaji, Neutra, Hard Gay, Hamatra, Bangkara , Punk, B type, hippie, hip hop, flapper, marine, Miyuki, metro ethnicity, metrosexual, modal type, mod, Mori Girl, Yama Girl, Yankee, Unisex, Real Close, Rockers, Lolita, etc.) And estimated value of income (for example, estimated from the estimated price of belongings and stores at the shopping street), family composition (estimated from traveling companions at the shopping street), hobbies (estimated from shopping at the shopping street) And the like.

Furthermore, instead of inferring attributes from images, it is possible to perform attribute analysis as described above using, for example, a response to a questionnaire from a shopping street and identification information that can be identified from a respondent's face image. A similar analysis can be performed with the response result of Furthermore, the user can be registered in a shopping mall or an SNS hosted by a system administrator, and an attribute can be acquired using information on the SNS. This attribute can be obtained by analyzing the utterance of each person on the SNS, or may be obtained by answering a utterance in the form of a question such as an avatar constituted by a personified computer.

<Hardware configuration>
FIG. 5 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment. As shown in this figure, the investigation system in this embodiment includes a “CPU (Central Processing Unit)” (0501) for performing various arithmetic processing and a “main memory” (0502). It also has an “HDD” (0503) for holding predetermined information and a “network I / F (interface)” (0504) for transmitting and receiving information to and from an external device (0506). Then, they are mutually connected by a data communication path such as a “system bus” (0505), and perform transmission / reception and processing of information.

Here, the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program. A plurality of addresses are assigned to each of the "main memory" and the "HDD", and programs executed by the "CPU" exchange data by specifying and accessing the addresses. It is possible to perform processing.

In this embodiment, the programs stored in the "main memory" are the same as those in the first embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store. In addition to the store opening time change calculation program, there are a passer age and gender distribution information acquisition program, an expected customer group age and gender distribution information acquisition program, and an age and gender comparison output program.

As in the first embodiment, the “main memory” and the “HDD” include passer image, passer information which is information in which passer identification information, shooting time, gender and age are associated, store information, and the like. Is stored. Furthermore, the present embodiment is characterized in that passer-age age-gender distribution information indicating the distribution of gender and age of passers-by and assumed-customer-age age-gender distribution information indicating the distribution of gender and age of the assumed customer segment are also stored. There is.

The “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age. On the other hand, a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied. By executing the passer age and gender distribution information acquisition program stored in the “main memory”, the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”. Executes the assumed customer age and gender distribution information acquisition program stored in the "main memory" and uses the stored store information to determine the gender of the assumed customer and the age of the assumed customer at the store. Gender distribution information is acquired and stored in “main memory” and “HDD”. Then, a passer store opening time change calculation program stored in the “main memory” is executed, and the number of passers and the opening of the store are calculated using the stored passer information and the stored store information. Calculate the time change with a number. Then, the age and gender comparison output program stored in the "main memory" is executed, and the acquired passer age and gender distribution information and the acquired assumed customer group age and gender distribution information are output so as to be comparable.

<Process flow>
FIG. 6 is a diagram illustrating a flow of processing when the investigation system according to the present embodiment is used. As shown in FIG. 6, a video acquisition step (S0601), a gender age estimation step (S0602), a passer information storage step (S0603), a passer age / gender distribution information acquisition step (S0604), and an assumed customer group This is a processing method including an age / sex distribution information acquisition step (S0605), a passer store opening time change calculation step (S0606), and an age / sex comparison output step (S0607). In these processing methods, occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied. In this case, a survey system for activating a shopping street having a store information holding unit that holds store information including the gender and age of the assumed customer group of the store is executed.

The contents of the “video acquisition step”, the “gender age estimation step”, the “passer information storage step”, and the “passer store opening time change calculation step” are as described in the first embodiment.

The “passenger age / gender distribution information acquisition step” is a step of acquiring the assumed customer demographics of the store and the assumed customer demographic age / sex distribution information indicating the age distribution using the stored store information.

The “estimated customer demographic age / gender distribution information acquisition step” is a step of acquiring passer age and gender distribution information indicating the gender and age of the passer by using the accumulated passer information.

The “age / sex comparison output step” is a stage in which the acquired assumed customer age / sex distribution information is output in a comparable manner.

<Summary>
From these, it is possible to analyze the suitability of the shopping street and the passers-by that is further advanced than in the first embodiment, and to provide the passer-by attributes to the shopping streets and the stores constituting the shopping streets, and the attributes of the passers-by for each passing time zone. You can get information to improve your sales. This improvement is useful as improvement information such as store opening times, break times, rotation of store clerks, types of products to be pushed to the front in stores, types of services, and rotation of products and services to be pushed to the front in each time zone. It is.

In this embodiment, in addition to the features of the second embodiment, regardless of the type of business, it holds business type data in which the type of business and the age and gender of the optimal customer group suitable for the type of business are stored, and the acquired passer age gender is obtained. Based on the distribution information and the stored store information and the stored business format data, if there is a store space that is not occupied, the occupancy recommended store business format, which is the business format of the store to be occupied, is acquired and output. The configured survey system.

<Functional configuration>
FIG. 7 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment. The survey system in this embodiment includes a passerby observation camera (0701), a video acquisition unit (0702), a gender age estimation unit (0703), a passerby information storage unit (0704), a store information storage unit (0705), and a passerby store. Store opening time change calculation unit (0706), passer age and gender distribution information acquisition unit (0707), assumed customer demographic age and gender distribution information acquisition unit (0708), age and gender comparison output unit (0709), and business type data storage unit (0710) And a recommended store business format acquisition unit (0711) and a recommended store business format output unit (0712). Hereinafter, the contents of each function will be specifically described. The functions except for the business format data storage unit, the recommended store business format acquisition unit, and the recommended store business format output unit are the same as those in the second embodiment. The description is limited to the function of the store business format output unit.

The “business type data storage unit” is a business type data that associates a business type with the age and gender of the optimal customer group suitable for that business type, regardless of whether the business type is stored in the store information storage unit. This is the function to hold.

FIG. 18 is a diagram illustrating an example of business condition data to be held. It holds a large category for the business type, a small classification for the business type, the age of the optimal customer group suitable for the business type, the gender of the optimal customer group suitable for the business type, and business hours suitable for the business type. The contents held in this drawing are merely examples, and the contents are not limited to these, and the contents are optimized according to the actual situation. In addition, the age and gender of the optimal customer group suitable for the business type may be held in more detail. Specifically, for the optimal customer group, men and women up to 20 years old, but only men after 20 years old For example, the gender of the optimal customer group may change depending on the age.

More specifically, the large category "Fast Food" has the small categories "Hamburger", "Ramen" and "Donburi". For “hamburger”, the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 24 hours to 04:00. For “Ramen”, the age of the optimal customer segment is all ages, the gender of the optimal customer segment is gender, and the appropriate business hours are from 10:00 to 24:00. As for “Donburi”, the ages of the optimal customer group are VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
Within the large category "single item", there are the small categories "gyoza", "eel", and "okonomiyaki". As for “gyoza”, the age of the optimal customer segment is VY, Y and M, the gender of the optimal customer segment is male, and the appropriate business hours are from 12:00 to 20:00. As for “eel”, the age of the optimal customer group is M and O, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00. As for “okonomiyaki”, the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
The large category "many menus" has the small categories "family restaurant", "Chinese", and "Italian". As for the “family restaurant”, the ages of the optimal customer segment are VY, Y and M, the gender of the optimal customer segment is male and female, and the appropriate business hours are from 10:00 to 24:00. For “China”, the age of the optimal customer group is all ages, the gender of the optimal customer group is male, and the appropriate business hours are from 12:00 to 20:00. For "Italian", the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
Within the major category "+ alcohol", there are the minor categories "sushi", "yakiniku", and "nabe". As for “sushi”, the age of the optimal customer group is M and O, the gender of the optimal customer group is male and female, and the appropriate business hours are from 18:00 to 24:00. As for “yakiniku”, the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 18:00 to 24:00. As for “nabe”, the ages of the optimal customer segment are Y and M, the gender of the optimal customer segment is gender, and the appropriate business hours are from 18:00 to 24:00.
The major category "alcohol only" includes the minor categories "pub", "bar" and "snack". As for “pub”, the ages of the optimal customer segment are Y and M, the gender of the optimal customer segment is gender, and the appropriate business hours are from 18:00 to 24:00. As for the “bar”, the ages of the optimal customer segment are M and O, the gender of the optimal customer segment is gender, and the appropriate business hours are from 21:00 to 24:00. As for “snack”, the age of the optimal customer group is M and O, the gender of the optimal customer group is male, and the appropriate business hours are from 21:00 to 24:00.
For example, by configuring as described above, it becomes easy to analyze an optimal business type in which a store should be set up in a vacant entering space.

The “Recommended Store Business Type Acquisition Unit” is based on the acquired passer age and gender distribution information, the retained store information, and the retained business format data, when there is a store space that is not occupied. A function of acquiring a recommended store business format, which is a business format of a store to be moved into. Here, the “unoccupied store space” includes the case where there is already a building on the premises where a store can be entered, but is not limited to this. This includes possible land. The use of vacant lots can be an effective improvement measure for revitalizing shopping streets including shopping malls.

For example, it can be concluded that the gender of passers-by is gender, and the young age group is a young age group, for example, a teenage woman shown in FIG. 22 is an important customer target of the shopping street to be analyzed. An example of an analysis in which a tenant is newly invited to a space will be described. According to the analysis result of FIG. 22, the traffic of this target is mostly at 17:00 and 18:00. On the other hand, in the time period shown in FIG. 18, if a very young person “VY” is searched for a business type suitable for a woman “W”, “hamburger”, “ramen”, “donburi”, “okonomiyaki”, “Italian” , “Yakiniku” and “family restaurant”. On the other hand, stores in the shopping district have already entered the ramen and yakiniku business formats. Therefore, "hamburger steak", "donburi", "okonomiyaki", "Italian", and "family restaurant" remain as business formats suitable for the target and which do not compete with stores already occupied. Furthermore, if the business types that have long business hours and can be accepted by people with other attributes are extracted, “Hamburg”, which has the longest business hours, is the most prominent, followed by “Family restaurants”. The third is “donburi”, “okonomiyaki”, and “Italian” in the same order. As described above, it is possible to acquire a recommended resident business type based on the business type data, passer age and gender information, and the store information held in the store information holding unit. Furthermore, it is also possible to narrow down the business type that can attract customers who are the same as the assumed customers of the stores that have already occupied by using the assumed customer age and gender distribution information. In the information of FIG. 17, "VY" is 12 stores, "Y" is 15 stores, "M" is 12 stores, and "O" is 5 stores, and the overall tendency is assumed to be "M" from "VY". There are many stores as customers, and in the above-described narrowing result, there is no need to further narrow down since all the narrowed stores have the same customer group. To summarize, first, the important customer segment target is obtained from the passer age and gender information, the business type that fits is selected according to this, the competition with this and the existing store is eliminated, and it is not essential. Will be further narrowed down to overlapping business types.

The “recommended entry store business format output unit” is a function of outputting the acquired recommended store business format.

Furthermore, the flow of the passerby and the attributes including the age and gender of the passerby are affected by the presence / absence, content, and location of the shopping district itself and the facilities surrounding the shopping district. For example, if a park is set up, there will be parents around the park (often in their twenties to early forties, and during weekday days the accompanying parents are often women). It tends to increase as a passerby. In terms of the flow of people, if a large shopping mall is provided, the number of passers-by going from the station to the large-scale mall will increase, and the number of passers-by in front of the store in the middle will increase. Further, depending on the business hours of the large shopping mall, for example, the number of passers-by to the large shopping mall from the station immediately after the business start time increases, and the number of passers-by to the station at the end of business hours. Usually, it tends to increase. As described above, the flow of the pedestrian and the route of the pedestrian change according to the surrounding facilities. Further, by utilizing this phenomenon, a route that is desirably passed by a pedestrian to activate the shopping street may be acquired. For example, if a pass-through between stores is improved to make it easier for passers-by to use the pass-through as an official passage, the flow of passers-by can be changed. Then, the number of passers-by in front of each store changes. For this reason, the information processing apparatus further includes a traffic route trend information holding unit that holds traffic route trend information that is a trend related to a route that is passed by a passerby, and stores the held business type data, the stored shop information, and the traffic route trend information. The information processing device may further include a passage information acquisition unit that acquires appropriate passage maintenance information based on the information. Here, the “passage maintenance information” includes a place where it is desirable to provide a bypass, but is not limited thereto, and further preferably includes decoration contents of the bypass. This is because the passage route of a pedestrian is often greatly affected by the decoration contents of the passage. Then, in order to guide passers-by with the optimal attributes (including, but not limited to, age and gender) to the aisle where the loopholes have been prepared, the “Recommended occupancy” should be set to obtain the optimal business type. Store business type acquisition unit ".

<Hardware configuration>
FIG. 8 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment. As shown in the figure, the investigation system in the present embodiment includes a “CPU (Central Processing Unit)” (0801) for performing various arithmetic processes and a “main memory” (0802). In addition, an “HDD” (0803) for holding predetermined information and a “network I / F (interface)” (0804) for transmitting and receiving information to and from an external device (0806) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (0805), and perform information transmission / reception and processing.

In this embodiment, the programs stored in the “main memory” are the same as those in the second embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store. Store opening time change calculation program, passer age and gender distribution information acquisition program, assumed customer demographic and gender distribution information acquisition program, and age and gender comparison output program, as well as a business format data retention program, a recommended store business format acquisition program, and a recommended store business format This is an output program.

As in the second embodiment, the "main memory" and the "HDD" contain passer image information, passer information which is information relating passer identification information, shooting time, gender and age, and store information. It stores passer age gender distribution information indicating the gender and age distribution of passers-by, and assumed customer group age-gender distribution information indicating the gender and age distribution of the assumed customer segment. Furthermore, in this embodiment, in the present embodiment, business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format, and when there is a store space that is not occupied, the occupancy recommendation that is the business format of the store to be occupied. It is characterized in that store business type information is also stored.

The “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age. On the other hand, a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied. By executing the passer age and gender distribution information acquisition program stored in the “main memory”, the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”. Executes the assumed customer age and gender distribution information acquisition program stored in the "main memory" and uses the stored store information to determine the gender of the assumed customer and the age of the assumed customer at the store. Gender distribution information is acquired and stored in “main memory” and “HDD”. Then, a passer store opening time change calculation program stored in the “main memory” is executed, and the number of passers and the opening of the store are calculated using the stored passer information and the stored store information. Calculate the time change with a number. Then, the age and gender comparison output program stored in the "main memory" is executed, and the acquired passer age and gender distribution information and the acquired assumed customer group age and gender distribution information are output so as to be comparable. In addition, by executing the business format data storage program stored in the “main memory”, regardless of whether the business format is stored in the store information storage unit, the business format and the optimal customer suitable for that business format Stores business type data that associates the age and gender of the layer. Then, by executing the tenant recommended store business type acquisition program stored in the “main memory”, the acquired passer age and gender distribution information, the stored store information, and the stored business type data Based on this, if there is a store space that has not been occupied, a resident recommended store business type, which is the business type of the store to be occupied, is acquired. Then, the resident recommendation store business type output program stored in the “main memory” is executed to output the acquired resident recommendation store business type.

<Process flow>
FIG. 9 is a diagram illustrating a flow of processing when the survey system according to the present embodiment is used. As shown in FIG. 9, a video acquisition step (S0901), a gender age estimation step (S0902), a passer information storage step (S0903), a passer age / gender distribution information acquisition step (S0904), and an assumed customer group Age / sex distribution information acquisition step (S0905), pass-by store opening time change calculation step (S0906), age / sex comparison output step (S0907), entry recommended store business type acquisition step (S0908), entry recommended store business output This is a processing method including step (S0909). In these processing methods, occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied. Store information that stores the store information including the gender and age of the assumed customer segment of the store, and whether the business format is stored in the store information storage unit, This is executed by a survey system for activating a shopping district having a business condition data holding unit for holding business condition data in which the age and the gender of the optimal customer group suitable for the business condition are associated.

"Video acquisition step", "Gender age estimation step", "Passenger information storage step", "Passenger age and gender distribution information acquisition step", "Assumed customer demographic age and gender distribution information acquisition step", and "Passer store opening time" The contents of the “change calculation step” and the “age / sex comparison output step” are as described in the first and second embodiments.

The “enter recommended store business type acquisition step” is based on the acquired passer age and gender distribution information, the retained store information, and the retained business type data, when there is a store space that is not occupied. This is the stage of acquiring the recommended store business format, which is the business format of the store to be moved in.

The “entering recommended store business type output step” is a step of outputting the acquired moving-in recommended store business type.

<Summary>
Thus, by comparing the information with the passer-by information, it is possible to easily analyze the business type of the store to be occupied when there is a vacant store space.

In this embodiment, in addition to the features of the third embodiment, based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business format data, the business format indicated by the store information of the store space occupied is appropriate. Stores the business space appropriateness index calculation rule, which is a rule for calculating the index indicating the gender, and stores the occupied store space based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business format data. This is a survey system configured to calculate an index indicating the appropriateness of the business type indicated by the store information of the occupied store using the store information and the business type appropriateness index calculation rule.

<Functional configuration>
FIG. 10 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment. The survey system in this embodiment includes a passerby camera (1001), a video acquisition unit (1002), a gender age estimation unit (1003), a passer information storage unit (1004), a store information storage unit (1005), and a passerby. Store opening time change calculation unit (1006), passer age and gender distribution information acquisition unit (1007), assumed customer segment age and gender distribution information acquisition unit (1008), age and gender comparison output unit (1009), and business condition data storage unit (1010) ), A recommended store business format acquisition unit (1011), a recommended store business format output unit (1012), a business format adequacy index calculation rule holding unit (1013), and a business format adequacy index calculation unit (1014). Hereinafter, the contents of each function will be specifically described. The functions except for the business format adequacy index calculation rule holding unit and the business format adequacy index calculation unit are the same as those of the third embodiment. The description is limited to this.

The “business type adequacy index calculation rule storage unit” is based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a function for holding a business form appropriateness index calculation rule that is a rule for calculating an index indicating the suitability of the business form indicated by the store information of the store space in which the store is located.

For example, as shown in FIG. 22, it is assumed that the influential customers in the shopping district are women in their teens, and the time zone where the number of traffic is large is at 17:00 or 18:00. As shown in FIG. 17, 12 of the 16 stores occupying the shopping street have "VY" as the assumed customer segment. Among them, "Goro", a ramen shop of "SHOP @ ID @ C", "VY" is assumed to be an assumed customer, but women are not assumed customers. In recent years, ramen is becoming popular not only with young men but also with young women with a sense of fashion. In response to this, the business type information of “Ramen” shown in FIG. 18 includes “VY” in the customer segment and also targets “W” as the customer segment. Moreover, in this data, a wide time zone from 10:00 to 24:00 is recommended as the business hours, which is significantly different from the business hours of “Goro”. Goro's business hours begin at 18:00, and are outside the 17:00 level, when the peak of traffic for young women, which is an important target in the shopping district, begins. Based on the above, “Ramen” is an appropriate business format for the main shopping street, but “Goro” should be opened one hour ahead of schedule, and assumes “young women”. Calculating that the emphasis should be placed on sales as a customer is an example of a business format adequacy index calculation rule.

The “business type adequacy index calculation unit” is a store occupied based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a function of calculating an index indicating the appropriateness of the business type indicated by the store information of the occupied store using the store information of the space and the stored business type appropriateness index calculation rule.

FIG. 19 is a diagram showing an example of the business format adequacy index calculation rule and the actual calculation content separately from the above. The calculation rule can be optimized as appropriate, but for convenience of explanation, it is assumed that the calculation rule is obtained by multiplying the degree of coincidence between the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business type data. In practice, it is conceivable to weigh the peak time zone or to weight the main customer group that occupies most of the customer group among the assumed customer groups. explain.

This is an example of the business type “Ramen”. According to the business type data, the age of the optimal customer type suitable for the business type is all ages, the gender of the optimal customer type suitable for the business type is gender, and the appropriate business hours are from 10:00 to 24:00. On the other hand, in the ramen “Goro”, the age of the assumed customer group is VY, Y, and M, the sex of the assumed customer group is male, and the business hours are from 18:00 to 24:00. The passers-by that pass through the aisle in front of the ramen shop "Goro" are male 7 for female and female 7 for gender. For age, VY is 4, Y is 4, M is 1, M is 1, and O is 1. is there. In this case, as shown in FIG. 20, the degree of coincidence is 90% because VY, Y, and M occupy 90% of the whole, as shown in FIG. Next, as for the gender, as shown in FIG. 21, women who occupy 70% of the total are excluded, so that the degree of coincidence can be determined to be 30%. The business hours are 6/14 of the appropriate business hours of 14 hours, and thus can be determined to be 6/14. Therefore, a value obtained by multiplying these by "0.115" is an index indicating the appropriateness of the business type indicated by the store information of the store where the tenant is occupied. Although the above is an example of the calculation in the case of simplification, the present invention is not limited to such calculation content.

<Hardware configuration>
FIG. 11 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment. As shown in the figure, the investigation system in the present embodiment includes a “CPU (Central Processing Unit)” (1101) for performing various arithmetic processing and a “main memory” (1102). In addition, an “HDD” (1103) for holding predetermined information and a “network I / F (interface)” (1104) for transmitting and receiving information to and from an external device (1106) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (1105), and perform transmission / reception and processing of information.

In this embodiment, the programs stored in the “main memory” are the same as those of the third embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passership information storage program, a store information holding program, and a passership store. Opening time change calculation program, passer age and gender distribution information acquisition program, assumed customer demographic and gender distribution information acquisition program, age and gender comparison output program, business format data retention program, recommended store business format acquisition program, and recommended store business format output program In addition to the above, there are a business form appropriateness index calculation rule holding program and a business form appropriateness index calculation program.

As in the third embodiment, the “main memory” and the “HDD” store passer image, passer information which is information in which passer identification information, shooting time, gender, and age are associated, and store information. Passenger age and gender distribution information showing the gender and age distribution of passers-by, assumed customer demographic age and gender distribution information showing the gender and age distribution of expected customer demographics, age and gender of the business type and the optimal customer demographic that is appropriate for the business type And store recommended store business type information, which is the business type of the store to be moved in when there is a store space that is not occupied. Further, in the present embodiment, an index indicating the appropriateness of the business type indicated by the store information of the occupied store space is calculated based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business type data. It is characterized in that a business format appropriateness index calculation rule, which is a rule for this, is also stored.

The “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age. On the other hand, a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied. By executing the passer age and gender distribution information acquisition program stored in the “main memory”, the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”. Executes the assumed customer age and gender distribution information acquisition program stored in the "main memory" and uses the stored store information to determine the gender of the assumed customer and the age of the assumed customer at the store. Gender distribution information is acquired and stored in “main memory” and “HDD”. Then, a passer store opening time change calculation program stored in the “main memory” is executed, and the number of passers and the opening of the store are calculated using the stored passer information and the stored store information. Calculate the time change with a number. Then, the age and gender comparison output program stored in the "main memory" is executed, and the acquired passer age and gender distribution information and the acquired assumed customer group age and gender distribution information are output so as to be comparable. By executing the business format data storage program stored in the "main memory", regardless of whether the business format is stored in the store information storage unit, the business format and the age of the optimal customer group suitable for the business format And business type data in which gender and gender are associated. Then, the tenant recommendation store business type acquisition program stored in the “main memory” is executed, and the acquired passer-age age-gender distribution information and the acquired expected customer demographic age-gender distribution information are retained. If there is a store space that is not occupied, there is obtained a recommended store business format that is a business format of a store to be occupied based on the business format data. Then, the resident recommendation store business type output program stored in the “main memory” is executed to output the acquired resident recommendation store business type. Then, the business type appropriateness index calculation rule storage program stored in the “main memory” is executed to store the business type appropriateness index calculation rule. Then, by executing the business form appropriateness index calculation program stored in the “main memory”,
Store information of the occupied store space and store information of the occupied store using the business format adequacy index calculation rule based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business format data Calculate the index indicating the appropriateness of the business format indicated by.

<Process flow>
FIG. 12 is a diagram illustrating a flow of processing when the investigation system according to the present embodiment is used. As shown in FIG. 12, a video acquisition step (S1201), a gender age estimation step (S1202), a passer information accumulation step (S1203), a passer age / gender distribution information acquisition step (S1204), and an assumed customer group Age and gender distribution information acquisition step (S1205), passer store opening time change calculation step (S1206), age and gender comparison output step (S1207), entering recommended store business type acquiring step (S1208), and entering recommended store business type output This processing method includes a step (S1209) and a business form adequacy index calculation step (S1210). In these processing methods, occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied. Store information that stores the store information including the gender and age of the assumed customer segment of the store, and whether the business format is stored in the store information storage unit, A business type data storage unit that stores business type data that associates the age and gender of the optimal customer group suitable for the business type; acquired passer age gender distribution information; acquired assumed customer group age / gender distribution information; Based on the retained business format data and the business format appropriateness index calculation rule, which is a rule for calculating an index indicating the appropriateness of the business format indicated by the store information of the occupied store space, Index performance It is executed by the surveillance system for activation of mall with rule holding unit.

"Video acquisition step", "Gender age estimation step", "Passenger information storage step", "Passenger age and gender distribution information acquisition step", "Assumed customer demographic age and gender distribution information acquisition step", and "Passer store opening time" The contents of the “change calculation step”, “age / sex comparison output step”, “enter recommended store business type acquisition step”, and “enter recommended store business type output step” are as described in the first, second, and third embodiments. is there.

The “business type adequacy index calculation step” refers to the occupied store based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a step of calculating an index indicating the suitability of the business type indicated by the store information of the occupied store using the store information of the space and the stored business type appropriateness index calculation rule.

<Summary>
Thus, it is possible to easily determine whether or not the business type of the occupied store is appropriate.

CPU: 0201
Main memory: 0202
HDD: 0203
Network I / F: 0204
System bus: 0205
External device: 0206

Claims

A pedestrian observation camera for capturing images of pedestrians traveling on the inflow path of people into the shopping street,
An image acquisition unit for acquiring an image of a pedestrian observation camera;
A gender age estimating unit that assigns passer identification information to each passerby photographed from the acquired video and estimates the gender and age of the passerby photographed in association with the photographing time;
A passer information storage unit for storing passer identification information and passer information which is information relating the estimated gender and age of the passer associated with the shooting time;
Tenant space identification information is provided for each tenant space in the shopping street to determine whether or not the tenant has entered the store, the business type of the tenant when the tenant is occupied, the business hours of the tenant when the tenant is occupied, and A store information holding unit that holds store information including the gender and age of the assumed customer segment of the store when
A passer store opening time change calculator for calculating a time change between the number of passers and the number of store openings using the accumulated passer information and the stored store information;
Investigation system for the activation of shopping streets with
A passer age and gender distribution information acquisition unit that acquires passer age and gender distribution information indicating a distribution of the age by using the accumulated passer information;
An assumed customer demographic age / gender distribution information acquisition unit that acquires the expected customer demographics of the store using the accumulated store information and the assumed customer demographic age / sex distribution information indicating the age distribution;
An age-sex comparison output unit that outputs the acquired passer-age age-gender distribution information and the acquired assumed customer demographic age-gender distribution information in a comparable manner;
The survey system for activating a shopping street according to claim 1, further comprising:
A business format data storage unit that stores business format data that associates the business format with the age and gender of the optimal customer segment suitable for the business format, regardless of whether the business format is held in the store information storage unit,
Based on the acquired passer age and gender distribution information, the retained store information, and the retained business format data, if there is a store space that is not occupied, the occupancy recommendation, which is the business format of the store to be occupied A resident recommendation store business type acquisition unit that obtains store business format,
A resident recommendation store business type output unit that outputs the acquired resident recommendation store business format,
The survey system for activating a shopping street according to claim 2, further comprising:
The appropriateness of the business type indicated by the store information of the occupied store space based on the acquired passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the retained business format data A business form adequacy index calculation rule holding unit that holds a business form adequacy index calculation rule, which is a rule for calculating an index indicating
Based on the acquired passer age gender distribution information, the acquired expected customer demographic age gender distribution information, and the retained business format data, the store information of the occupied store space and the stored business format An adequacy index calculation rule, and a business type adequacy index calculation unit that calculates an index indicating the adequacy of the business type indicated by the store information of the occupied store,
The survey system for activating a shopping street according to claim 3, further comprising:
Tenant space identification information is assigned to each tenant space in the shopping street, and the presence or absence of the tenant, the business type of the tenant when the tenant is occupied, the business hours of the tenant if the tenant is occupied, and the tenant A method of operating a survey system for activating a shopping street having a store information holding unit for holding store information including gender and age of the assumed customer group of the store,
An image acquiring step for acquiring an image of a pedestrian passing on the inflow route of a person into the shopping street;
A gender age estimating step of assigning passer identification information to each passerby photographed from the acquired video and estimating the gender and age of the passerby photographed in association with the photographing time;
A passer information storing step of storing passer identification information and passer information which is information relating the estimated gender and age of the passer associated with the photographing time;
A passer store opening time change calculating step of calculating a time change between the number of passers and the number of store openings using the stored passer information and the stored store information;
Method of operating a survey system for activating a shopping street having a question mark.
A step of obtaining passer age and gender distribution information for obtaining passer age and gender distribution information indicating a distribution of passer age using the accumulated passer information;
An assumed customer demographic age / gender distribution information acquisition step of acquiring the assumed customer demographic / gender distribution information indicating the age distribution and the assumed customer demographics of the store using the stored shop information;
An age-gender comparison output step of outputting the obtained passer-age gender distribution information and the obtained assumed customer demographic age-gender distribution information in a comparable manner;
The operation method of the survey system for activating a shopping street according to claim 5, further comprising:
It further includes a business format data storage unit that stores business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format, regardless of whether the business format is stored in the store information storage unit. An operation method of a survey system for activating a shopping street,
Based on the acquired passer age and gender distribution information, the retained store information, and the retained business format data, if there is a store space that is not occupied, the occupancy recommendation, which is the business format of the store to be occupied A step of acquiring a recommended store business type to obtain a store business format,
7. The operation method of the survey system for activating a shopping street according to claim 6, further comprising an output step of outputting the acquired recommended store business format.
The appropriateness of the business type indicated by the store information of the occupied store space based on the acquired passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the retained business format data A method for operating a survey system for activating a shopping area further comprising a business form adequacy index calculation rule holding unit which holds a business form adequacy index calculation rule which is a rule for calculating an index indicating
Based on the acquired passer age gender distribution information, the acquired expected customer demographic age gender distribution information, and the retained business format data, the store information of the occupied store space and the stored business format 8. The activity of a shopping street according to claim 7, further comprising a business form appropriateness index calculating step of calculating an index indicating business suitability indicated by the store information of the occupied store using the appropriateness index calculation rule. Method of operation of the survey system for computerization.
Tenant space identification information is assigned to each tenant space in the shopping street, and the presence or absence of the tenant, the business type of the tenant when the tenant is occupied, the business hours of the tenant if the tenant is occupied, and the tenant A survey program that is readable and executable in a survey system device for activating a shopping street, which is a computer including a store information holding unit that holds store information including the gender and age of an assumed customer segment of a store. ,
An image acquiring step for acquiring an image of a pedestrian passing on the inflow route of a person into the shopping street;
A gender age estimating step of assigning passer identification information to each passerby photographed from the acquired video and estimating the gender and age of the passerby photographed in association with the photographing time;
A passer information storing step of storing passer identification information and passer information which is information relating the estimated gender and age of the passer associated with the photographing time;
A passer store opening time change calculating step of calculating a time change between the number of passers and the number of store openings using the stored passer information and the stored store information;
A survey program readable and executable in a survey system device for activating a shopping street, which is a computer having a computer.
A step of obtaining passer age and gender distribution information for obtaining passer age and gender distribution information indicating a distribution of passer age using the accumulated passer information;
An assumed customer demographic age / gender distribution information acquisition step of acquiring the assumed customer demographic / gender distribution information indicating the age distribution and the assumed customer demographics of the store using the stored shop information;
An age-gender comparison output step of outputting the obtained passer-age gender distribution information and the obtained assumed customer demographic age-gender distribution information in a comparable manner;
10. A survey program which is described as read-executable in a survey system for activating a shopping street, which is a computer according to claim 9, further comprising:
It further includes a business format data storage unit that stores business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format, regardless of whether the business format is stored in the store information storage unit. A survey program which is readable and executable in a survey system device for activating a shopping street which is a computer,
Based on the acquired passer age and gender distribution information, the retained store information, and the retained business format data, if there is a store space that is not occupied, the occupancy recommendation, which is the business format of the store to be occupied A step of acquiring a recommended store business type to obtain a store business format,
11. A survey program described in a read-executable manner in a survey system apparatus for activating a shopping street, which is a computer according to claim 10, further comprising a step of outputting the acquired recommended store business format.
The appropriateness of the business type indicated by the store information of the occupied store space based on the acquired passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the retained business format data Is a computer that further has a business form aptitude index calculation rule holding unit that holds a business form aptitude index calculation rule that is a rule for calculating an index indicating that a survey system device for activating a shopping street can be read and executed. The written survey program,
Based on the acquired passer age gender distribution information, the acquired expected customer demographic age gender distribution information, and the retained business format data, the store information of the occupied store space and the stored business format 12. The computer according to claim 11, further comprising a business form appropriateness index calculating step of calculating an index indicating business suitability indicated by the store information of the occupied store using the appropriateness index calculation rule. A survey program written in a survey system device for revitalizing the town so that it can be read and executed.