JPWO2020065919A1 - Survey system and survey method for revitalizing the shopping district - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an apparatus for analyzing whether or not a tenant is appropriate for each occupancy space. According to the present invention, an image of a passerby passing through an inflow route of a person into a shopping district is acquired, and the gender and age are estimated from the acquired image for each passerby in association with the shooting time. By accumulating passerby information in, the presence or absence of a store occupancy for each store occupancy space in the shopping district, the business type of the store when occupying, the business hours of the store when occupying, and the store when occupying To store store information including the gender and age of the assumed customer base, and to calculate the time change between the number of passersby and the number of store openings using the accumulated passerby information and the stored store information. It provides a survey system for revitalizing the shopping district that has the function of. [Selection diagram] Fig. 1

Description

The present invention relates to a survey system and a survey method for revitalizing a shopping district.

In shopping districts including shopping malls, it is desirable that appropriate tenants move in for each occupancy space and sell and provide appropriate products and services at appropriate times. If you make a mistake in analyzing or judging the appropriateness, you will end up with a shopping district with only closed tenants, such as the so-called shutter district.

A shopping district including a shopping mall is characterized by the attributes of passersby, the amount of traffic, and the temporal distribution of passersby, depending on the area where the shopping district is located. Nevertheless, until now, it has only tried to independently analyze how the store will flourish for each occupancy space. Then, it was difficult to revitalize each store in the shopping district and the entire shopping district.

As the prior art, the following Patent Document 1 can be mentioned forcibly.

Patent No. 5438859

Patent Document 1 is a customer demographic analyzer that analyzes the customer base of customers who visit a store. As a specific configuration, the customer base of a person who appears in the imaging area set to image the customer heading for the audience seat from the guidance waiting area near the entrance / exit of the store is determined, and the customer segment is the determination result. Information is acquired, it is determined from the behavioral form of the person who appears in the imaging region whether or not the person is a customer to be analyzed, the non-applicable person is excluded from the analysis target, and the narrowed down person is excluded. It is an aggregation means that aggregates the customer segment information as a target, and generates customer segment trend information regarding the fluctuation tendency of the number of customers by customer segment based on the number of customers by customer segment acquired in a predetermined period unit in time series.

However, since the invention described in Patent Document 1 targets a "customer who has visited a store", even a passerby who originally has a potential to visit the store does not come to the store. It was not the subject of analysis and could not achieve the goal of developing a new customer base that was overlooked in the first place.

Therefore, although the technology described in Patent Document 1 is useful for analysis in order for tenants to efficiently operate stores toward the conventional customer base, it is useful for cultivating new customers and shopping streets including shopping malls. There was a problem that it did not lead to activation when viewed as a whole.

The present invention is from the viewpoint of cultivating a new customer base that was originally overlooked, such as passers-by who have the potential to visit the store, and activating this when viewed as a whole of the shopping district. Therefore, the purpose is to provide a system that can improve the entire shopping district.

In order to achieve such an object, the present invention presents a passerby observation camera for acquiring an image of a passerby passing on an inflow route of a person into a shopping district, and an image acquisition for acquiring an image of a passerby observation camera. Gender age estimation department that assigns passerby identification information to each passerby taken from the acquired video and estimates the gender and age of the passerby taken in association with the shooting time, and passerby identification information The passerby information storage unit that stores passerby information, which is information related to the estimated gender and age of the passerby associated with the shooting time, and the occupancy space identification information for each store occupancy space in the shopping district. Store information including the presence or absence of occupancy of the store, the business type of the store when occupying the store, the business hours of the store when occupying the store, and the gender and age of the assumed customer base of the store when occupying the store. The store information holding unit that holds the store, and the passerby store opening time change calculation unit that calculates the time change between the number of passersby and the number of store openings using the accumulated passerby information and the stored store information. Provide a survey system for revitalizing the shopping district with.

Next, in addition to the above characteristics, the passerby age gender distribution information acquisition unit that acquires the passerby age gender distribution information indicating the passerby gender and age distribution using the accumulated passerby information, and the accumulation Assumed customer group age and gender distribution information that shows the gender and age distribution of the store using the store information is assumed customer group age and gender distribution information acquisition unit and the acquired passerby age and gender distribution Provided is a survey system for revitalizing a shopping district, which further has an age-gender comparison output unit that outputs information and acquired assumed customer group age-gender distribution information in a comparable manner. On top of that, regardless of whether or not the format is held in the store information holding department, the format data holding department holds the format data that associates the format with the age and gender of the optimal customer group suitable for that format. Based on the acquired passerby age and gender distribution information and the retained store information and the retained business format data, the recommended occupancy store is the format of the store that should be moved in if there is a store space that is not occupied. It provides a survey system for revitalizing a shopping district that further has a occupancy recommendation store format acquisition department that acquires a business format and a occupancy recommendation store format output department that outputs the acquired occupancy recommendation store format. In addition, based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the appropriateness of the business format indicated by the store information of the store space in which the customer is occupying is determined. The format suitability index calculation rule holding unit that holds the format suitability index calculation rule, which is the rule for calculating the indicated index, the acquired passerby age gender distribution information, and the acquired assumed customer group age gender distribution information. Appropriateness of the business format indicated by the store information of the store you are occupying using the store information of the store space you are occupying and the stored business format suitability index calculation rule based on the retained business format data Provided is a survey system for revitalizing a shopping district, which further has a business format appropriateness index calculation unit for calculating an index indicating.

Then, an operation method corresponding to such a survey system and a survey program described so as to be readable and executable in a survey system device which is a computer are provided.

From the above, from the viewpoint of cultivating a new customer base that was originally overlooked, such as passers-by who have the potential to visit the store, and revitalizing this when viewed as a whole of the shopping district. ， It is possible to provide a system that can improve the entire shopping district.

The figure which shows the functional configuration of the investigation system in Example 1. The figure which shows the hardware configuration of the investigation system in Example 1. The figure which shows the processing flow of the investigation system in Example 1. The figure which shows the functional configuration of the investigation system in Example 2. The figure which shows the hardware configuration of the investigation system in Example 2. The figure which shows the processing flow of the investigation system in Example 2. The figure which shows the functional configuration of the investigation system in Example 3. The figure which shows the hardware configuration of the investigation system in Example 3. The figure which shows the processing flow of the investigation system in Example 3. The figure which shows the functional configuration of the investigation system in Example 4. The figure which shows the hardware configuration of the investigation system in Example 4. The figure which shows the processing flow of the investigation system in Example 4. Diagram showing the flow of people in the shopping district A diagram schematically showing a shopping street seen from above As an example, a diagram outlining a method of estimating the gender and age of a passerby Diagram showing an example of accumulated passerby information Diagram showing an example of the contents of the retained store information Diagram showing an example of business format data to be held Diagram showing an example of business format suitability index calculation rules and actual calculation contents Diagram showing an example of the contents of the business type suitability index calculation related to age Diagram showing an example of the contents of the business type suitability index calculation related to age A diagram showing an example of a graph that outputs the relationship between the number of passersby and the store opening rate in a specific passerby attribute, with the horizontal axis as the time axis and the vertical axis as the number of passersby and the store opening rate.

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

The mutual relationship between the examples and the claims is as follows. Mainly, the description of Example 1 relates to claim 1, the description of Example 2 relates to claim 2, the description of Example 3 relates to claim 3, and the description of Example 4 relates to claim 4.

In this embodiment, images of passers-by passing through the inflow route of people to the shopping district are acquired, and the gender and age are estimated in relation to the shooting time for each passerby photographed from the acquired images, and then the passersby. By accumulating information, each store occupancy space in the shopping district indicates whether or not the store is occupying, the business type of the store when occupying, the business hours of the store when occupying, and the assumed customer of the store when occupying. A function that retains store information including gender and age of strata and calculates the time change between the number of passersby and the number of store openings using the accumulated passerby information and the retained store information. It is a research system for revitalizing the shopping district that it owns.

FIG. 13 is a diagram showing the flow of people in the shopping district. In the present invention, the "shopping street" includes, but is not limited to, a street where many shops are lined up, and the flow of people (regardless of whether it is linear or decentralized) is contained in one building. Yes Places with multiple tenant spaces, department stores, shopping centers, outlet parks, side streets, bars, commercial complexes, open spaces with multiple stores, under guards with multiple stores, Monzen-cho, approach, It is defined to broadly include the streets of festival night shops that are temporarily constructed. In other words, it includes a wide space where multiple stores are arranged. In FIG. 13, the street where many shops are lined up is taken as an example, and passersby come and go from the station part which is called "STATION" to the street where many shops are lined up as "SHOP". In this way, the flow of passersby changes depending on the existence of a station, for example. Furthermore, the flow and attributes of passers-by also change depending on the time of day.

The present invention is to grasp the number and attributes of passersby who come and go in a shopping district on a time axis, and provide a survey system for revitalizing the shopping district based on the information.

Hereinafter, the survey system for activating the shopping district in this embodiment will be described in order with respect to the functional configuration, hardware configuration, and processing flow.

<Functional configuration>
FIG. 1 is a diagram showing a functional configuration of the survey system in this embodiment. The survey system in this embodiment includes a passerby observation camera (0101), an image acquisition unit (0102), a gender age estimation unit (0103), a passerby information storage unit (0104), a store information holding unit (0105), and a passerby store. It has a store opening time change calculation unit (0106). Hereinafter, the functional configuration will be specifically described with respect to the contents of each function.

The "passerby observation camera" is a function for acquiring images of passersby passing through the inflow route of people into the shopping district. The passerby observation camera is installed at a relatively high position to prevent it from being damaged or damaged by mischief. However, since the face is an important element of photography, it is preferable to set the focus of the passerby observation camera to a relatively long distance in order to capture the face relatively clearly. Otherwise, you can only shoot above the heads of passers-by. For example, it is preferable to set to shoot an image at a position of about 10 meters or more and 20 meters or less.

Here, the "inflow route" refers to a route through which people enter and exit the shopping district, and does not have to be one. In general, the "inflow route" also serves as the outflow route. Therefore, a plurality of passerby observation cameras may be installed in one shopping district. In addition, one shopping street may be composed of a plurality of small shopping streets. In this case, a passerby who has flowed into a large inflow route is once photographed by a passerby observation camera and then flows into the small shopping street. At that time, the same person may be observed again with a passerby observation camera and analyzed.

In principle, it is assumed that the inflow of passers-by into the shopping district will be captured and used for post-processing. For example, the face of an inflowing passerby can be captured, but the face of an outflowing passerby cannot be captured, and the image of only the inflowing passerby is transmitted to the image acquisition unit described later. You may process it as such. In addition, all the images of passersby are transmitted to the video acquisition unit, but the image acquisition unit is configured so that the information of the passersby to be output to the gender / age estimation unit, which will be described later, is only for the inflowing passersby. You may.

In addition, inflows and outflows can be distinguished and configured to process passerby information in both directions. With this configuration, the time spent in the shopping district of each passerby can be obtained as information, and more detailed analysis of the passerby information in the shopping district is possible. In addition, if the passerby observation cameras are installed in both directions at specific positions in the middle of the shopping street, the residence time of each passerby in a predetermined block in the shopping street can be obtained and distributed to the shopping street. It is also possible to obtain the relationship between the staying time of each passerby and the staying store attribute by analyzing it together with the attribute information of the store. Furthermore, by analyzing the distances of the predetermined blocks together, it is possible to grasp the moving speed of passersby in the predetermined block. Alternatively, the average passing speed of passersby per store is calculated based on the number of stores in the block, or the average passing speed of passersby is calculated based on the visitor space of the 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 passersby by store attribute or store attribute × store area. This makes it possible to analyze and calculate the store attributes that passersby are interested in.

FIG. 14 is a diagram schematically showing a shopping street seen from above. There is one passage called "SHOPPING STREET" (note that there is one passage here, but of course there is no problem even if there are two or more passages, and within the scope of the present invention. is there.). Then, there are 18 occupancy spaces from "A" to "R" along the one road. Here, it is assumed that the flow of passersby flows from the direction in which the occupancy spaces of “R” and “Q” exist to the direction in which the occupancy spaces of “A” and “H” exist. As for the "passerby observation camera", there is a camera called "CAMERA1" on the entrance side of the shopping street from the flow of passersby, and a camera called "CAMERA2" on the exit side of the shopping street from the flow of passersby. To do. The location is not limited to the entrance and exit of the shopping district, and may be installed at predetermined intervals, such as installing every two occupancy spaces. In addition, in order to make it easy to estimate the gender and age of passersby, the installation mode may be such that one place is photographed from multiple directions.

The "video acquisition unit" is a function for acquiring images from a passerby observation camera. This "video acquisition unit" may be provided with a configuration for eliminating duplication of passersby. Specifically, if the passerby observation camera does not process the video of only the passersby to be transmitted to the video acquisition unit, the video of a specific passerby will be duplicated. The video acquisition unit may have a configuration such that only the inflowing passersby is acquired and the outflowing passersby is not acquired. In particular, it is possible to identify the same person by using the ratio of the distances of the eyes, nose, teeth, etc. of the face based on the face image of a passerby, and it is possible to identify a person who stays for a long time or turns the face again after looking back. It is preferable to double-identify a person or the like so that the same person is not double-counted or recognized as another person.

The "gender-age estimation unit" is a function that assigns passer-by identification information to each passerby photographed from the acquired video and estimates the gender and age of the passerby photographed in association with the shooting time.

FIG. 15 is a diagram showing an outline of a method of estimating the gender and age of a passerby as an example. For example, in general, the characteristics of passersby are extracted from the face part called "FACE" and the body part called "BODY". More specifically, for the face part, the coordinates of the left eye, which is referred to as "L · eye", are "x2 · y2", and the coordinates of the left eye, which are referred to as "R · eye", are "x2 · y2" and "nose". The coordinates of the nose "x1 · y1", the coordinates of the mouth "mouth" "x5 · y5", and the coordinates of the left ear "L · ear" "x3 · y3" are acquired, and the coordinates are also used. It shows the characteristics of age and gender. Furthermore, is the contour curve of the face rounded (female tendency), angular (male tendency), high or low bangs covering the forehead (female tendency), and low (male tendency)? As for the body part, the overall balance, such as whether the back muscles are stretched (young), the waist tends to bend (old), and movements such as how to walk, such as stride length (tendency of young men) or small (female). Characteristic of age and gender appears in whether it is very small (tendency of the elderly) or not. Furthermore, whether the items possessed by passers-by have a high tendency for women or men can also be used to infer gender. For example, if the bag in possession is a hand-held bag, the tendency of young women increases, and if the bag is a business type, the tendency of young men increases. High heels in shoes are more likely to be younger women, and 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 passerby are estimated by associating the passerby identification information with the shooting time information. The age and gender may be identified by initially educating the AI by the image information and the labeling attached to the image information, and using this to automatically determine the AI. In this case, the image information acquires values for each of several hundred identification elements and labels them to form a gender and age identification space of several hundred dimensions, and uses this space to obtain the gender and age from individual images. A method of guessing can also be used.

The estimated age is roughly described as "VY" (very young), "Y" (young), "M" (middle), "O" (old), etc. in the explanation in the present specification, but of course. It may be in units of 10 years, such as "teens", "20s", "30s", etc., or more finely in units of 1 year.

The "passerby information storage unit" is a function of accumulating passerby information, which is information related to the passerby identification information and the estimated gender and age of the passerby associated with the shooting time.

FIG. 16 is a diagram showing an example of accumulated passerby information. The shooting time, passerby identification information, gender and age information are associated and accumulated. For example, for a passerby whose passerby identification information (ID) is "020068", the shooting time is "18:36" (18:36), the gender is "male", and the age is "M". For passersby whose passerby identification information (ID) is "00002", the shooting time is "18:36" (18:36), the gender is "female", and the age is "M". For a passerby whose passerby identification information (ID) is "020070", the shooting time is "18:36" (18:36), the gender is "male", and the age is "Y". For a passerby whose passerby identification information (ID) is "020071", the shooting time is "18:38" (18:38), the gender is "male", and the age is "O". This gender and age are the gender and age estimated from the images of passersby by the Gender Age Guessing Department.

The "store information holding department" assigns occupancy space identification information to each store occupancy space in the shopping district, and indicates whether or not the store is occupying, the type of store when occupying, and the store when occupying. It is a function to retain store information including the business hours of the store and the gender and age of the assumed customer base of the store when moving in.

FIG. 17 is a diagram showing an example of the contents of the retained store information. There are items such as "SHOP ID", "industry", "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 base, "M" is male, "W" is female, and "VYYMO" "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 , Has a meaning like 51 years old or older. "0-6-12-18-24" indicates business hours on the time axis from 0:00 to 24:00.

Looking at the specific contents on this, the occupancy space with "SHOP ID" of "A" contains the store "JENS" with "industry" of "glasses", and the stores are of all ages. The target customer base is men and women, and the business hours are from 10:00 to 20:00.
Next, in the occupancy space where "SHOP ID" is "B", there is a store "B &H" whose "industry" is "fast fashion (unisex)", and the store is assumed to be VY or Y men and women. It is a customer base, and business hours are from 12:00 to 19:00.
Next, in the occupancy space where "SHOP ID" is "C", there is a store "Goro" whose "industry" is "ramen", and that store is intended for male VY, Y, and M customers. The business hours are from 18:00 to 22:00.
Next, in the occupancy space where "SHOP ID" is "D", there is a store "Jewelry Star" whose "Industry" is "Accessories", and that store is intended for women with VY and Y. ， Business hours are from 12:00 to 20:00.
Next, in the occupancy space where "SHOP ID" is "E", there is a store "Forever 16" whose "industry" is "fast fashion (ladies)", and that store is assumed to be a VY or Y female customer. It is layered and business hours are from 12:00 to 20:00.
Next, in the occupancy space where the "SHOP ID" is "F", there is a store "Komakiya" whose "industry" is "udon", and that store is intended for men and women of VY, Y, and M. The business hours are from 10:00 to 18:00.
Next, in the occupancy space where the "SHOP ID" is "G", there is a store "wood stock" whose "industry" is "bag", and that store is intended for men and women of all ages. Business hours are from 14:00 to 20:00.
Next, in the occupancy space where "SHOP ID" is "H", there is a store "Yamaguchiya" whose "industry" is "suit", and that store is intended for men with M and O. ， Business hours are from 14:00 to 20:00.
Next, in the occupancy space where "SHOP ID" is "I", there is a store "Robson" whose "industry" is "jeans", and that store is intended for men and women of VY and Y. Business hours are from 10:00 to 18:00.
Next, in the occupancy space where "SHOP ID" is "J", there is a store "Banzai" whose "industry" is "Yakiniku", and the store is open for men and women of all ages. The time is from 18:00 to 23:00.
Next, in the occupancy space where "SHOP ID" is "K", there is a store "Nekamatsu" whose "industry" is "shoes (ladies)", and that store is assumed to be VY, Y, or M women. It is a customer base, and business hours are from 13:00 to 19:00.
Next, in the occupancy space where the "SHOP ID" is "L", there is a store "Big Radio" whose "industry" is "home appliances", and that store is intended for male Y and M customers. ， Business hours are from 12:00 to 20:00.
Next, in the occupancy space where "SHOP ID" is "M", there is a store "Kishuya" whose "industry" is "bookstore", and that store is intended for men and women of Y and M. ， Business hours are from 12:00 to 20:00.
Next, in the occupancy space where the "SHOP ID" is "N", there is a store "Sushi Gold and Silver" whose "Industry" is "Sushi", and that store is intended for men and women of Y, M and O. The business hours are from 18:00 to 24:00.
Next, in the occupancy space where the "SHOP ID" is "O", there is a store "ABD Mart" whose "industry" is "shoes", and that store is intended for men and women of VY, Y, and M. The business hours are from 12:00 to 19:00.
Next, the occupancy space where "SHOP ID" is "P" is vacant.
Next, the occupancy space with "SHOP ID" of "Q" is vacant.
Next, in the occupancy space where "SHOP ID" is "R", there is a store "Kinza Parra" whose "industry" is "sweets", and that store is intended for women of VY, Y, and M. It is layered and 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 the "SHOP ID".

The "passer-by-store opening time change calculation unit" is a function that calculates the time change between the number of passers-by and the number of store openings using the accumulated passer-by information and the stored store information. ..

Here, the “number of stores opened” includes not only the number of stores that are open, but also the opening rate of all or part of the tenants occupying the stores in the shopping district as a population. Furthermore, the "number of passersby" is the ratio of the number of people captured by the passerby observation camera to 100%, assuming that the maximum number of passersby in the time unit of the shopping district is 100% (the unit of the ratio is). , 1% unit, 5% unit, 10% unit, or 100% as 1.0, which may be indicated as a ratio to these) is also included. The unit for counting the number of people passing by may be processed in units of 5 or 10 people instead of 1 person. The time change calculation 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. In addition, by outputting the number of passers-by by gender and age of passers-by, it is possible to compare with the number of stores opened by hour, and it is also possible to output and compare by business type of store and expected customer group.

FIG. 22 shows an example of a graph in which the horizontal axis is the time axis and the vertical axis is the number of passersby and the store opening rate for the relationship between the number of passersby and the store opening rate in a specific passerby attribute of “teenage woman”. It is a figure. According to this graph, for example, the opening rate of a store at 13:00 is 100%, but the number of "teenage women" passing by during that time is 24. On the other hand, the opening rate of stores at 18:00 is about 70%, and the number of "teenage women" passing by during that time is 120. This makes it possible to observe the gap between the number of people passing by and the number of stores opened in the shopping district. In other words, the store should be open the most during the time when the number of people passing by is the largest, but it is easy to see when it is not. It is the most basic data to identify the problems of the shopping district.

<Other history management>
The gender-age estimation unit may have a function of uniquely identifying the person from the face image of the passerby. Unique means unique, and once identified, it is distinguishable from other passerby image information. Then, it is conceivable that the passerby information storage unit uniquely stores the passerby as history information in association with this unique identification result. Therefore, when a passerby once accumulated in the history passes through the shopping street at a later date, it is determined that the same person is passing through the shopping street again by referring to the history. Then, the history accumulated for that person may be updated by the traffic history of the shopping district 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 district related to that date and time, weather, and other events that affect the traffic of the shopping district (nearby). It is preferable to keep it in association with festival parades in the town, suspension of operations due to train accidents, economic circumstances such as a stock market crash, concerts and plays held nearby, locations by TV stations, etc.). Furthermore, it is preferable that the total sales of the shopping district on that date and time or that day and the sales of each store occupying the shopping district are also associated.

<Notification of other repeat customers to each store>
For passers-by in the shopping district, it is possible to take a picture of the entire shopping district with a camera, or to use a function of tracking a smartphone or the like to determine how the person has moved in the shopping district. Then, it is possible to acquire what kind of action the person (uniquely identified) has taken. For example, it is conceivable to configure which stores in the shopping district and how many times they have visited, and as store information, the products and prices purchased at the time of the visit can be associated with each other. Then, it is preferable to store such behavior attributes as the history information, and when a passerby is recognized, the history information of the passerby is searched and the attributes are acquired, for example, the previous visit. It is conceivable to notify that a passerby who has a visit history has entered the shopping district only for the store that has the same attributes as the store that visited or the store that visited. As a result, each store can prepare for sales and can operate the store efficiently.

<Other statistical analysis>
It is also conceivable to perform statistical analysis according to the passerby attributes and the like, which is the accumulated history of passersby. By statistical analysis, it is possible to predict what kind of behavior a passerby will take in a shopping district according to various attributes. In addition, statistical analysis can be used to find out the factors that are lacking in the shopping district. In addition, it is possible to predict the influx of passers-by into the shopping district in the future according to the attributes of passers-by, events, weather forecasts, etc. For example, if you enter the condition "Tomorrow's weather will be fine, November 23 (Tuesday), no event", the inflow forecast, retention forecast, and sales of passers-by stratified by time zone, gender, and age will be obtained from the statistical analysis results. It is possible to calculate forecasts and the like.

<Matters related to Examples described later>
In the examples described later, examples of calculating the recommended stores for occupancy and calculating the appropriateness of the business format of the occupying stores will be described. However, how are the results of these recommendations and the flow of people in the shopping district after the business format is changed? The information in the database that accumulates the history information of passers-by, such as what kind of impact will occur on the sales of each store, what will happen to the expected sales of newly moved stores, what will happen to the sales of stores that have changed business formats, etc. It can be calculated by statistical processing, and such a function can be provided in this survey system.

<Hardware configuration>
The hardware configuration of the survey system in this example will be described with reference to the figures.

FIG. 2 is a diagram showing the hardware configuration of the survey system in this embodiment. As shown in this figure, the investigation system in this embodiment includes a "CPU (central processing unit)" (0201) and a "main memory" (0202) that perform various arithmetic processes. It also includes an "HDD" (0203) that holds predetermined information and a "network / I / F (interface)" (0204) that sends and receives information to and from an external device (0206). Then, they are connected to each other by a data communication path such as a "system bus" (0205) to transmit / receive and process information. External devices include an optical device that constitutes a passerby observation camera, a microphone that records the sound of the shopping street (analyzing the voice of a person in the shopping street and the voice of a clerk after recording), a display, a keyboard, an input pad, and an external device. Storage device, Internet terminal device, human sensor (detects people entering and exiting the store, etc.), GPS system (measures the terminal position included in the distribution in the shopping district and measures the movement of people in the shopping district Observation), street speakers in the shopping district (calling passers-by in the shopping district), smartphones, tablets, mobile terminal communication functions (push information to registered passers-by's smartphones, etc.), location information beacon system (shopping street) The position and speed of the passerby can be obtained in detail from the passerby's beacon detection device). The same applies to the following examples.

Here, the "main memory" reads a program for performing various processes to be executed by the "CPU", and at the same time, provides a work area which is also a work area of the program. In addition, multiple addresses are assigned to each of the "main memory" and "HDD", and the program executed by the "CPU" exchanges data with each other 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 passerby information storage program, a store information retention program, and a passerby store opening time change calculation program. is there. In addition, the "main memory" and the "HDD" store images of passersby, passerby information, which is information related to the passerby identification information, shooting time, gender, and age, and store information.

The "CPU" executes a passerby observation program stored in the "main memory" to acquire images of passersby passing through the inflow route of people into the shopping district, and obtains images of passersby, and "main memory" and "HDD". Store in. Then, the video acquisition program stored in the "main memory" is executed to acquire the video of the passerby observation camera. Then, the gender-age estimation program stored in the "main memory" is executed, passer identification information is given to each passerby photographed from the acquired video, and the passerby photographed in association with the shooting time. Guess the gender and age of the person. On the other hand, the store information retention program stored in the "main memory" is executed to give the occupancy space identification information to each store occupancy space in the shopping district, and the presence or absence of the store occupancy and the store occupancy are obtained. Store information including the business type of the store, the business hours of the store when occupying, and the gender and age of the assumed customer base of the store when occupying. Then, the passerby store opening time change calculation program stored in the "main memory" is executed, and the number of passersby and the opening of the store are used by using the accumulated passerby information and the stored store information. Calculate the time change with a number.

<Processing flow>
FIG. 3 is a diagram showing a processing flow when the survey system in this embodiment is used. As shown in FIG. 3, a processing method including a video acquisition step (S0301), a gender age estimation step (S0302), a passerby information storage step (S0303), and a passerby store opening time change calculation step (S0304). Is. These processing methods add occupancy space identification information to each store occupancy space in the shopping district, and indicate whether or not the store is occupying, the store's business type when occupying, and the store's business hours and occupancy when occupying. This is carried out by a survey system for revitalizing a shopping district that has a store information holding unit that holds store information including the gender and age of the assumed customer base of the store.

The “video acquisition step” is a step of acquiring a video of a passerby passing through the inflow route of people into the shopping district.

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

The “passerby information accumulation step” is a step of accumulating passerby information, which is information related to the passerby identification information and the estimated gender and age of the passerby associated with the shooting time.

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

<Summary>
From the above, from the viewpoint of cultivating a new customer base that was originally overlooked, such as passers-by who have the potential to visit the store, and revitalizing this when viewed as a whole of the shopping district. ， It is possible to provide a system that can improve the entire shopping district.

In this embodiment, in addition to the features of the first embodiment, the accumulated passerby information is used to acquire the passerby age gender distribution information indicating the distribution of the passerby's gender and age, and the accumulated store. This is a survey system for revitalizing a shopping district that acquires information on the distribution of the assumed customer group age and gender of a store using information and outputs it in a comparable manner.

Hereinafter, the investigation system in this embodiment will be described in order in terms of functional configuration, hardware configuration, and processing flow.

<Functional configuration>
FIG. 4 is a diagram showing a functional configuration of the survey system in this embodiment. The survey system in this embodiment includes a passerby observation camera (0401), a video acquisition unit (0402), a gender age estimation unit (0403), a passerby information storage unit (0404), a store information holding unit (0405), and a passerby store. It has an opening time change calculation unit (0406), a passerby age / gender distribution information acquisition unit (0407), an assumed customer group age / gender distribution information acquisition unit (0408), and an age / gender comparison output unit (0409). The contents of each function will be specifically described below. Since each function except for the passerby age / gender distribution information acquisition unit, the assumed customer group age / gender distribution information acquisition unit, and the age / gender comparison output unit is the same as in Example 1, the passerby age / gender distribution information acquisition unit The explanation is limited to the functions of the age / gender distribution information acquisition unit and the age / gender comparison output unit.

The "passer-age age-gender distribution information acquisition unit" is a function of acquiring the passer-by age-gender distribution information indicating the passerby's gender and age distribution by using the accumulated passer-by information.

The "assumed customer group age / gender distribution information acquisition unit" is a function that acquires the gender of the assumed customer group of the store and the assumed customer group age / gender distribution information indicating the distribution of age by using the accumulated store information. .. Regarding the number of expected customer groups of stores, for example, in terms of gender, the number of stores that have male customers as expected customers or the number of stores that have female customers as expected customers out of the total number of stores may be used. 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 not only on whether or not the store is targeted as a sales strategy, but also on the degree of importance of the assumed customer or the attribute of the actual past visitor.

The "age / gender comparison output unit" is a function that outputs the acquired passerby age / gender distribution information in a comparable manner with the acquired assumed customer group age / gender distribution information.

The content of the comparison output may have various comparison output forms. The simplest is to compare the age distribution for the total number of passers-by who passed through the shopping district within a predetermined period with the age distribution of the assumed customers of all stores in the shopping district, and to compare the gender distribution for the total number of passers-by and for all stores. This is a comparison of the gender distribution of assumed customers. In addition, both may be mixed and the distribution of gender and age of all passersby may be compared with the distribution of gender and age of assumed customers of all stores. Further, although this is the total number within a predetermined period, it is also possible to configure the above comparison by dividing the predetermined period by time and using the assumed customers of the stores that are opened by time as information. This hourly period may be a specific day, or the average value for one month may be used. Since the passersby in the shopping district have seasonal fluctuation factors, they may be configured to compare the averages for each season, for example. The seasons are from April of the new semester to June when the rainy season begins, from June when the rainy season begins to July when the summer vacation begins, from the end of July to the end of August including the Obon holiday, and from September to the winter season. 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, when the year-end and New Year begins, and from the end of January to the end of March, when the new semester begins, which is characteristic of the shopping district. You can set the period to divide the season by demand.

In addition to the gender and age of the passerby, the age and gender were compared with the attributes that can be acquired or inferred by the image recognition of the passerby and the attributes provided based on the business type and business type of the store in the shopping district. It is possible to do the same. The attributes that can be obtained from the images of passersby are fashion trends (heterosexual clothing ?, mods coat, parka, Ibiruuk, Akiba, Miss Age, Amler, American casual, American traditional, emo fashion, old fashion, and so on. Brother, sister, olive girl, ganguro, Gibson girl, gal, gal man, grunge fashion, Kobe fashion, kogal, gothic fashion, conservative fashion, goth loli, surfer, cyber goth, cyber fashion, sap, Salon style, street fashion, slow knee, sloan fashion, sweater girl, center GUY, de-Ota, dandy, delicer, traditional, nipokaji, neutral, hard gay, hamatra, bunkara, punk, B series, hippy, hip hop, flapper Marin, Miyuki, Metro Ethnicity, Metro Sexual, Fashion, Mod, Mori Girl, Mountain Girl, Yankee, Unisex, Real Close, Rockers, Lolita, etc.) and estimated income (for example, estimated price of belongings) (Estimated from drop-in stores in the shopping district), family composition (estimate from the companion when passing through the shopping district), hobbies (estimate from the drop-in stores in the shopping district), etc.

Furthermore, the above attribute analysis can be performed using, for example, the answers to the questionnaire from the shopping district and the identification information that can be identified from the respondent's face image instead of estimating the attributes from the image, and the questionnaire conducted at each store in the shopping district. A similar analysis can be performed with the answer results of. Furthermore, it is possible to register in the SNS hosted by the shopping district or the system administrator and acquire the attributes using the information on the SNS. The acquisition of this attribute is possible by analyzing the remarks of each person on the SNS, or may be configured to be obtained by answering the remarks made in the form of a question such as an avatar composed of an anthropomorphic computer.

<Hardware configuration>
FIG. 5 is a diagram showing a hardware configuration of the survey system in this embodiment. As shown in this figure, the investigation system in this embodiment includes a "CPU (central processing unit)" (0501) and a "main memory" (0502) that perform various arithmetic processes. It also includes an "HDD" (0503) that holds predetermined information and a "network / I / F (interface)" (0504) that sends and receives information to and from an external device (0506). Then, they are connected to each other by a data communication path such as "system bus" (0505) to send / receive and process information.

Here, the "main memory" reads a program for performing various processes to be executed by the "CPU", and at the same time, provides a work area which is also a work area of the program. In addition, multiple addresses are assigned to each of the "main memory" and "HDD", and the program executed by the "CPU" exchanges data with each other 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 passerby observation program, video acquisition program, gender and age estimation program, passerby information storage program, store information retention program, and passerby store as in the first embodiment. In addition to the opening time change calculation program, there are a passerby age / gender distribution information acquisition program, an assumed customer group age / gender distribution information acquisition program, and an age / gender comparison output program.

Further, in the "main memory" and the "HDD", as in the first embodiment, the passerby image, the passerby identification information, the shooting time, the gender, and the age are associated with each other, such as passerby information and store information. Is stored. Further, in this embodiment, the passerby age gender distribution information showing the distribution of the gender and age of the passersby and the assumed customer age gender distribution information showing the distribution of the gender and age of the assumed customer group are also stored. There is.

The "CPU" executes a passerby observation program stored in the "main memory" to acquire images of passersby passing through the inflow route of people into the shopping district, and obtains images of passersby, and "main memory" and "HDD". Store in. Then, the video acquisition program stored in the "main memory" is executed to acquire the video of the passerby observation camera. Then, the gender-age estimation program stored in the "main memory" is executed, passer identification information is given to each passerby photographed from the acquired video, and the passerby photographed in association with the shooting time. Guess the gender and age of the person. On the other hand, the store information retention program stored in the "main memory" is executed to give the occupancy space identification information to each store occupancy space in the shopping district, and the presence or absence of the store occupancy and the store occupancy are obtained. Store information including the business type of the store, the business hours of the store when occupying, and the gender and age of the assumed customer base of the store when occupying. The passerby age / gender distribution information acquisition program stored in the "main memory" is executed, and the passerby age / gender distribution information indicating the passerby's gender and age distribution is obtained using the accumulated passerby information. Acquire and store in "main memory" and "HDD". The estimated customer group age and gender distribution information acquisition program stored in the "main memory" is executed, and the stored store information is used to show the gender and age distribution of the assumed customer group of the store. Gender distribution information is acquired and stored in the "main memory" and "HDD". After that, the passerby store opening time change calculation program stored in the "main memory" is executed, and the number of passersby and the opening of the store are used using the accumulated passerby information and the stored store information. Calculate the time change with a number. Then, the age-gender comparison output program stored in the "main memory" is executed, and the acquired passerby age-gender distribution information and the acquired assumed customer group age-gender distribution information are output in a comparable manner.

<Processing flow>
FIG. 6 is a diagram showing a processing flow when the survey system in this embodiment is used. As shown in FIG. 6, the video acquisition step (S0601), the gender age estimation step (S0602), the passerby information accumulation step (S0603), the passerby age gender distribution information acquisition step (S0604), and the assumed customer base This is a processing method including an age / gender distribution information acquisition step (S0605), a passerby store opening time change calculation step (S0606), and an age / gender comparison output step (S0607). These processing methods add occupancy space identification information to each store occupancy space in the shopping district, and indicate whether or not the store is occupying, the store's business type when occupying, and the store's business hours and occupancy when occupying. This is carried out by a survey system for revitalizing a shopping district that has a store information holding unit that holds store information including the gender and age of the assumed customer base of the store.

The contents of the "video acquisition step", the "gender age estimation step", the "passerby information accumulation step", and the "passerby store opening time change calculation step" are as described in the first embodiment.

The “passer age gender distribution information acquisition step” is a stage of acquiring the gender of the assumed customer group of the store and the assumed customer group age / gender distribution information indicating the distribution of age by using the accumulated store information.

The “assumed customer group age / gender distribution information acquisition step” is a step of acquiring the passerby age / gender distribution information indicating the passerby's gender and age distribution using the accumulated passerby information.

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

<Summary>
With these, it is possible to analyze the suitability of the shopping street and the passersby, which is more advanced than in Example 1, and the attributes of the passersby and the attributes of the passersby for each pass time zone can be assigned to each store constituting the shopping street and the shopping street. You can get information to improve the sales according to your needs. This improvement is useful as improvement information such as store opening time, break time, rotation of store clerk, type of product to be pushed to the front in the store, type of service, rotation of product or service to be pushed to the front for each time zone, etc. Is.

In this example, in addition to the characteristics of Example 2, regardless of the business type, the business type data that associates the business type and the age and gender of the optimum customer group suitable for the business type is retained, and the acquired passerby age and gender. Based on the distribution information and the retained store information, the occupancy recommended store format, which is the format of the store that should be moved in when there is a store space that is not occupied, is acquired and output. It is a configured research system.

Hereinafter, the investigation system in this embodiment will be described in order in terms of functional configuration, hardware configuration, and processing flow.

<Functional configuration>
FIG. 7 is a diagram showing a functional configuration of the survey system in this embodiment. The survey system in this embodiment includes a passerby observation camera (0701), an image acquisition section (0702), a gender age estimation section (0703), a passerby information storage section (0704), a store information holding section (0705), and a passerby store. Opening time change calculation unit (0706), passerby age and gender distribution information acquisition unit (0707), assumed customer group age and gender distribution information acquisition unit (0708), age and gender comparison output unit (0709), and business format data retention unit (0710) It has a move-in recommended store format acquisition unit (0711) and a move-in recommended store format output unit (0712). The contents of each function will be specifically described below. Since each function except for the business format data holding department, the occupancy recommended store business format acquisition department, and the occupancy recommended store business format output unit is the same as in Example 2, the business format data holding department, the occupancy recommendation store business format acquisition department, and the occupancy recommendation The explanation will be limited to the functions of the store format output unit.

The "business format data holding department" refers to 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 or not the business format is held in the store information holding department. It is a function to hold.

FIG. 18 is a diagram showing an example of business format data to be held. A major classification related to the business type, a minor classification related to the business type, the age of the optimum customer group suitable for the business type, the gender of the optimum customer group suitable for the business type, and the business hours suitable for the business type are maintained. The contents retained in this drawing are merely examples, and the contents are not limited to these, and the contents are also 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, the optimal customer group is male and female until the age of 20, but only male after the age of 20. It is possible that the gender of the optimal customer base may change depending on the age.

Specifically, there are minor categories "hamburger", "ramen", and "donburi" in the major category "fast food". For "hamburger steak," 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 24 hours from 0:00 to 24:00. Regarding "ramen", the age of the optimal customer group is all ages, the gender of the optimal customer group is male and female, and the appropriate business hours are from 10:00 to 24:00. Regarding "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.
There are small categories "Gyoza", "Unagi", and "Okonomiyaki" in the major category "single item". For "Gyoza", the ages of the optimal customer group are VY, Y and M, the gender of the optimal customer group is male, and the appropriate business hours are from 12:00 to 20:00. For "eel", the ages of the optimal customer group are 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. For "okonomiyaki," 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.
There are small categories "family restaurant", "Chinese food", and "Italian" in the large category "multi-menu". For "family restaurants," 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 10:00 to 24:00. For "Chinese food", 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 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.
There are small categories "sushi", "grilled meat", and "pot" in the major category "+ alcohol". Regarding "sushi," the ages of the optimal customer group are 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. Regarding "Yakiniku", 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 18:00 to 24:00. Regarding "nabe", the ages of the optimal customer group are 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.
There are minor categories "pubs", "bars", and "snack" in the major category "alcohol only". For "pubs", the ages of the optimal customer base are Y and M, the gender of the optimal customer base is male and female, and the appropriate business hours are from 18:00 to 24:00. Regarding the "bar", the ages of the optimal customer group are M and O, the gender of the optimal customer group is male and female, and the appropriate business hours are from 21:00 to 24:00. For "snack", the ages of the optimal customer group are 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, with the above configuration, it becomes easy to analyze the optimal business format in which a store should be set up in an empty occupancy space.

"Recommended store format acquisition department" is when there is a store space that is not occupied based on the acquired store age and gender distribution information, retained store information, and retained format data. ， It is a function to acquire the recommended store format, which is the format of the store to move into. Here, "store space not occupied" includes, but is not limited to, the case where a building for a store already exists on the premises, and construction of a store building even if it is a so-called vacant lot. It also includes possible land. This is because the method of utilizing vacant lots can be an effective improvement measure for revitalizing shopping districts including shopping malls.

For example, it was concluded that women as the gender of passersby and very young age groups as the age group, for example, teenage women shown in FIG. 22 are important customer targets of the shopping district to be analyzed, and stores that do not move in. The case of an analysis that attempts to invite a new tenant to a space will be described as an example. According to the analysis result of FIG. 22, the traffic of this target is high at 17:00 and 18:00. On the other hand, during that time period shown in Fig. 18, when looking for a business format suitable for female "W" with a very young person "VY", "hamburger", "ramen", "donburi", "okonomiyaki", "Italian" , "Yakiniku", "Family restaurant" are applicable. On the other hand, the stores in the shopping district have already moved into the "ramen" and "yakiniku" formats. Therefore, "hamburger steak," "donburi," "okonomiyaki," "Italian," and "family restaurant" remain as business formats that are suitable for the target and do not compete with stores that have already moved in. Furthermore, when extracting business categories that have long business hours and are acceptable to people with other attributes, "hamburger steak", which has the longest business hours, is the most promising, followed by "family restaurant". The third is "Donburi", "Okonomiyaki", and "Italian" in the same order. In this way, it is possible to acquire the occupancy recommended store business format based on the business format data, the passerby age / gender classification information, and the store information held in the store information holding unit. Furthermore, it is also possible to narrow down by using the information on the distribution of the assumed customer group, age, and gender to attract customers who overlap with the assumed customers of the stores that have already moved in. In the information in 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 "VY" to "M". There are many stores that serve as customers, and in the above narrowing results, all the narrowed down stores have a common customer base, so there was no need to further narrow down. In summary, first obtain important customer segment targets from passerby age and gender information, select a business format that fits according to this, eliminate competition between this and existing stores, but not essential, but in some cases existing stores and customer demographics Will be further narrowed down to overlapping business categories.

The "recommended store format output unit" is a function that outputs the acquired recommended store format.

Furthermore, the flow of passersby and attributes including the age and gender of passersby are affected by the presence, content, and location of the shopping district itself and the facilities around the shopping district. For example, if a park is set up, parents who accompany their children (mostly in their 20s to early 40s, and often the parents who accompany them during the daytime on weekdays are women). It tends to increase as a passerby. In terms of the flow of people, if a large shopping center is set up, the number of passersby who go from the station to the large shopping center will increase, and the number of passersby who pass in front of the stores set up on the way will increase. Furthermore, depending on the business hours of the large shopping mall, for example, the number of passersby from the station to the large shopping center increases immediately after the business start time, and the number of passersby to the station increases at the end of business hours. It usually tends to be high. In this way, the flow of passers-by and the route of passage change depending on the surrounding facilities. Furthermore, this phenomenon may be used to acquire a route that is desirable for passers-by to pass in order to activate the shopping district. For example, if a so-called loophole between stores is developed to make it easier for passersby to come and go by using the loophole as a formal passage, the flow of passersby can change accordingly. Then, the number of passersby passing in front of each store will change. Therefore, it further has a passage route tendency information holding unit that holds the passage route tendency information that is a tendency related to the route that a passerby passes through, and the retained business format data, the retained store information, and the passage route tendency. It may further have a passage information acquisition unit that acquires appropriate passage maintenance information based on the information. Here, the “passage maintenance information” includes, but is not limited to, a place where it is desirable to provide a loophole, and it is also desirable to include the decoration contents of the loophole. This is because the passage route of passers-by is often greatly influenced by the decoration contents of the passage. On top of that, in order to guide passers-by with the most suitable attributes (including, but not limited to, age and gender) to the passage with a loophole, the above-mentioned "recommendation to move in" to acquire the most suitable business format. It may be composed of "store format acquisition department".

<Hardware configuration>
FIG. 8 is a diagram showing a hardware configuration of the survey system in this embodiment. As shown in this figure, the investigation system in this embodiment includes a "CPU (central processing unit)" (0801) and a "main memory" (0802) that perform various arithmetic processes. It also includes an "HDD" (0803) that holds predetermined information and a "network / I / F (interface)" (0804) that sends and receives information to and from an external device (0806). Then, they are connected to each other by a data communication path such as a "system bus" (0805) to transmit / receive and process information.

Here, the "main memory" reads a program for performing various processes to be executed by the "CPU", and at the same time, provides a work area which is also a work area of the program. In addition, multiple addresses are assigned to each of the "main memory" and "HDD", and the program executed by the "CPU" exchanges data with each other 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 passerby observation program, video acquisition program, gender and age estimation program, passerby information storage program, store information retention program, and passerby store as in the second embodiment. In addition to the opening time change calculation program, passerby age and gender distribution information acquisition program and assumed customer group age and gender distribution information acquisition program and age and gender comparison output program, business format data retention program, occupancy recommended store format acquisition program and occupancy recommended store format It is an output program.

Further, in the "main memory" and the "HDD", as in the second embodiment, the passerby image, the passerby identification information, the shooting time, the gender, and the age are associated with the passerby information and the store information. The passerby age gender distribution information showing the distribution of the gender and age of the passersby and the assumed customer group age gender distribution information showing the distribution of the gender and age of the assumed customer group are stored. Further, in this embodiment, there is business type data that associates the business type with the age and gender of the optimum customer group suitable for the business type, and if there is a store space that is not occupied, the move-in recommendation is the business type of the store that should be moved in. The feature is that store format information is also stored.

The "CPU" executes a passerby observation program stored in the "main memory" to acquire images of passersby passing through the inflow route of people into the shopping district, and obtains images of passersby, and "main memory" and "HDD". Store in. Then, the video acquisition program stored in the "main memory" is executed to acquire the video of the passerby observation camera. Then, the gender-age estimation program stored in the "main memory" is executed, passer identification information is given to each passerby photographed from the acquired video, and the passerby photographed in association with the shooting time. Guess the gender and age of the person. On the other hand, the store information retention program stored in the "main memory" is executed to give the occupancy space identification information to each store occupancy space in the shopping district, and the presence or absence of the store occupancy and the store occupancy are obtained. Store information including the business type of the store, the business hours of the store when occupying, and the gender and age of the assumed customer base of the store when occupying. The passerby age / gender distribution information acquisition program stored in the "main memory" is executed, and the passerby age / gender distribution information indicating the passerby's gender and age distribution is obtained using the accumulated passerby information. Acquire and store in "main memory" and "HDD". The estimated customer group age and gender distribution information acquisition program stored in the "main memory" is executed, and the stored store information is used to show the gender and age distribution of the assumed customer group of the store. Gender distribution information is acquired and stored in the "main memory" and "HDD". After that, the passerby store opening time change calculation program stored in the "main memory" is executed, and the number of passersby and the opening of the store are used using the accumulated passerby information and the stored store information. Calculate the time change with a number. Then, the age-gender comparison output program stored in the "main memory" is executed, and the acquired passerby age-gender distribution information and the acquired assumed customer group age-gender distribution information are output in a comparable manner. In addition, by executing the business format data retention program stored in the "main memory", regardless of whether the business format is held in the store information holding department, the business format and the optimum customer suitable for that business format Holds format data that associates age and gender of a group. After that, the occupancy recommendation store format acquisition program stored in the "main memory" is executed, and the acquired passer-age age-gender distribution information, the retained store information, and the retained format data are displayed. Based on this, if there is a store space that is not occupied, the store format recommended for occupancy, which is the format of the store to be moved in, is acquired. Then, the occupancy recommendation store format output program stored in the "main memory" is executed, and the acquired occupancy recommendation store format is output.

<Processing flow>
FIG. 9 is a diagram showing a processing flow when the survey system in this embodiment is used. As shown in FIG. 9, the video acquisition step (S0901), the gender age estimation step (S0902), the passerby information accumulation step (S0903), the passerby age gender distribution information acquisition step (S0904), and the assumed customer base Age / gender distribution information acquisition step (S0905), passerby store opening time change calculation step (S0906), age / gender comparison output step (S0907), move-in recommended store format acquisition step (S0908), move-in recommended store format output This is a processing method including steps (S0909). These processing methods add occupancy space identification information to each store occupancy space in the shopping district, and indicate whether or not the store is occupying, the format of the store when occupying the store, and the business hours and occupancy of the store when occupying the store. The store information holding department, which holds store information including the gender and age of the assumed customer base of the store, and the business type, regardless of whether or not the business type is held by the store information holding department, It is executed by a survey system for revitalizing a shopping district that has a business format data holding unit that holds business format data that associates the age and gender of the optimal customer group suitable for the business format.

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

The "recommended store format acquisition step" is when there is a store space that is not occupied based on the acquired passer-age age-gender distribution information, the retained store information, and the retained format data. ， It is the stage to acquire the recommended store format, which is the format of the store to move into.

The “recommended occupancy store format output step” is the stage of outputting the acquired recommended occupancy store format.

<Summary>
By comparing with the passerby information, it is possible to easily analyze the business format of the store that should be moved in when there is a store space that is not occupied.

In this example, in addition to the features of Example 3, the appropriate business format indicated by the store information of the store space in which the customer is occupying based on the passerby age / gender distribution information, the assumed customer group age / gender distribution information, and the business format data. Store space where you are occupying based on the format appropriateness index calculation rule, which is a rule for calculating the index showing gender, and based on the passerby age gender distribution information, the assumed customer group age gender distribution information, and the format data. It is a survey system configured to calculate an index indicating the appropriateness of the business format indicated by the store information of the store in which the customer is occupying, using the store information of the above and the calculation rule of the format appropriateness index.

Hereinafter, the investigation system in this embodiment will be described in order in terms of functional configuration, hardware configuration, and processing flow.

<Functional configuration>
FIG. 10 is a diagram showing a functional configuration of the survey system in this embodiment. The survey system in this embodiment includes a passerby observation camera (1001), a video acquisition section (1002), a gender age estimation section (1003), a passerby information storage section (1004), a store information holding section (1005), and a passerby. Store opening time change calculation unit (1006), passerby age and gender distribution information acquisition unit (1007), assumed customer group age and gender distribution information acquisition unit (1008), age and gender comparison output unit (1009), and business type data holding unit (1010) ), A occupancy recommendation store business format acquisition unit (1011), a occupancy recommendation store business format output unit (1012), a business format suitability index calculation rule holding unit (1013), and a business format suitability index calculation unit (1014). The contents of each function will be specifically described below. Since each function except the business format appropriateness index calculation rule holding unit and the business format appropriateness index calculation unit is the same as in Example 3, the functions of the business format appropriateness index calculation rule holding unit and the business format appropriateness index calculation unit The explanation will be limited to.

The "business type suitability index calculation rule holding unit" is based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the held business type data. It is a function to hold the business format suitability index calculation rule, which is a rule for calculating the index indicating the suitability of the business format indicated by the store information of the existing store space.

For example, as shown in FIG. 22, the leading customer base of the shopping district is women in their teens, and the hours when the number of traffic is high are 17:00 and 18:00. As shown in Fig. 17, 12 of the 16 stores in the shopping district have "VY" as the assumed customer base, and among them, "SHOP ID C" ramen shop "Goro" "VY" is the assumed customer, but women are not. In the recent ramen situation, ramen is becoming popular not only for young men but also for young women with a fashionable feeling. Correspondingly, the business format information of "ramen" shown in FIG. 18 includes "VY" as the customer group and also targets "W" as the customer group. Moreover, in this data, a wide range of business hours from 10:00 to 24:00 is recommended as business hours, which is significantly different from the business hours of "Goro". Goro's business hours start at 18:00, which is outside the 17:00 level when the peak traffic volume of young women, which is an important target of our shopping district, begins. From the above, although "ramen" is an appropriate format for the main shopping district, the business hours of "Goro" should be opened about one hour ahead of schedule, and "young women" are assumed. One example of the business format suitability index calculation rule is to calculate that you should focus on sales as a customer.

The "business format appropriateness index calculation unit" is a store that is occupying based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data. It is a function to calculate the index indicating the appropriateness of the business format indicated by the store information of the store in which the customer is occupying, using the store information of the space and the stored business format suitability index calculation rule.

In addition to the above, FIG. 19 is a diagram showing an example of the business format suitability index calculation rule and the actual calculation content. The calculation rule can be optimized as appropriate, but for convenience of explanation, it is determined by a method of multiplying the passerby age gender distribution information, the assumed customer group age gender distribution information, and the degree of agreement between the business type data. In reality, it is conceivable to weight the peak hours, or to weight the main assumed customer group, which accounts for most of the expected customer group, but these are abstracted and simplified. explain.

This is an example of the business format "ramen". According to the format data, the age of the optimal customer group suitable for the business format is all ages, the gender of the optimal customer group suitable for the business format is male and female, and the appropriate business hours are from 10:00 to 24:00. On the other hand, in the ramen "Goro", the ages of the assumed customer group are VY, Y and M, the gender of the assumed customer group is male, and the business hours are from 18:00 to 24:00. The passers-by who come and go in the aisle in front of the ramen "Goro" are 3 males and 7 females in terms of gender, and VY is 4, Y is 4, M is 1, and O is 1. is there. As shown in FIG. 20, the degree of agreement in such a case can be judged to be 90% because VY, Y, and M, which account for 90% of the total, are in agreement with each other in terms of age. Next, in terms of gender, as shown in FIG. 21, women who account for 70% of the total are excluded, so it can be judged that the degree of agreement is 30%. It can be judged that the business hours are 6/14 because it is 6 hours out of the appropriate business hours of 14 hours. Therefore, the value "0.115", which is the product of these, is an index indicating the appropriateness of the business format indicated by the store information of the store in which the customer is occupying. The above is an example of the operation in the simplified case, but the present invention is not limited to such an operation content.

<Hardware configuration>
FIG. 11 is a diagram showing a hardware configuration of the survey system in this embodiment. As shown in this figure, the investigation system in this embodiment includes a "CPU (central processing unit)" (1101) and a "main memory" (1102) that perform various arithmetic processes. It also includes an "HDD" (1103) that holds predetermined information and a "network / I / F (interface)" (1104) that sends and receives information to and from an external device (1106). Then, they are connected to each other by a data communication path such as a "system bus" (1105) to transmit / receive and process information.

Here, the "main memory" reads a program for performing various processes to be executed by the "CPU", and at the same time, provides a work area which is also a work area of the program. In addition, multiple addresses are assigned to each of the "main memory" and "HDD", and the program executed by the "CPU" exchanges data with each other 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 passerby observation program, video acquisition program, gender and age estimation program, passerby information storage program, store information retention program, and passerby store as in the third embodiment. Opening time change calculation program, passerby age gender distribution information acquisition program and assumed customer group age gender distribution information acquisition program, age gender comparison output program, business type data retention program, move-in recommended store type acquisition program, move-in recommended store type output program In addition, there are a business type suitability index calculation rule holding program and a business type suitability index calculation program.

Further, in the "main memory" and the "HDD", as in the third embodiment, the passerby image, the passerby identification information, the shooting time, the gender, and the age are associated with the passerby information and the store information. Passerby age gender distribution information showing the distribution of the gender and age of passersby, assumed customer group age gender distribution information showing the distribution of the gender and age of the assumed customer group, the business type and the optimum age and gender of the customer group suitable for the business type It stores business format data associated with and information on recommended store business formats, which is the business format of the store that should be moved in when there is a store space that is not occupied. Further, in this embodiment, an index indicating the appropriateness of the business format indicated by the store information of the store space in which the customer is occupying is calculated based on the passerby age / gender distribution information, the assumed customer group age / gender distribution information, and the business format data. The feature is that the business type suitability index calculation rule, which is a rule for this purpose, is also stored.

The "CPU" executes a passerby observation program stored in the "main memory" to acquire images of passersby passing through the inflow route of people into the shopping district, and obtains images of passersby, and "main memory" and "HDD". Store in. Then, the video acquisition program stored in the "main memory" is executed to acquire the video of the passerby observation camera. Then, the gender-age estimation program stored in the "main memory" is executed, passer identification information is given to each passerby photographed from the acquired video, and the passerby photographed in association with the shooting time. Guess the gender and age of the person. On the other hand, the store information retention program stored in the "main memory" is executed to give the occupancy space identification information to each store occupancy space in the shopping district, and the presence or absence of the store occupancy and the store occupancy are obtained. Store information including the business type of the store, the business hours of the store when occupying, and the gender and age of the assumed customer base of the store when occupying. The passerby age / gender distribution information acquisition program stored in the "main memory" is executed, and the passerby age / gender distribution information indicating the passerby's gender and age distribution is obtained using the accumulated passerby information. Acquire and store in "main memory" and "HDD". The estimated customer group age and gender distribution information acquisition program stored in the "main memory" is executed, and the stored store information is used to show the gender and age distribution of the assumed customer group of the store. Gender distribution information is acquired and stored in the "main memory" and "HDD". After that, the passerby store opening time change calculation program stored in the "main memory" is executed, and the number of passersby and the opening of the store are used using the accumulated passerby information and the stored store information. Calculate the time change with a number. Then, the age-gender comparison output program stored in the "main memory" is executed, and the acquired passerby age-gender distribution information and the acquired assumed customer group age-gender distribution information are output in a comparable manner. Regardless of whether or not the business format is held in the store information holding department by executing the business format data retention program stored in the "main memory", the business format and the age of the optimum customer group suitable for that business format Holds business format data that associates with gender. After that, the occupancy recommendation store format acquisition program stored in the "main memory" is executed, and the acquired passerby age and gender distribution information and the acquired assumed customer group age and gender distribution information are retained. Based on the existing business format data, if there is a store space that is not occupied, the occupancy recommended store format, which is the business format of the store to be moved in, is acquired. Then, the occupancy recommendation store format output program stored in the "main memory" is executed, and the acquired occupancy recommendation store format is output. Then, the business format suitability index calculation rule holding program stored in the "main memory" is executed to hold the business format suitability index calculation rule. Then, execute the business format suitability index calculation program stored in the "main memory",
Based on the passerby age and gender distribution information, the assumed customer group age and gender distribution information, and the business format data, the store information of the store space in which the customer is occupying and the store information of the store in which the customer is occupying using the business format appropriateness index calculation rule. Calculates an index that indicates the appropriateness of the business format indicated by.

<Processing flow>
FIG. 12 is a diagram showing a processing flow when the survey system in this embodiment is used. As shown in FIG. 12, a video acquisition step (S1201), a gender age estimation step (S1202), a passerby information accumulation step (S1203), a passerby age / gender distribution information acquisition step (S1204), and an assumed customer base. Age / gender distribution information acquisition step (S1205), passerby store opening time change calculation step (S1206), age / gender comparison output step (S1207), move-in recommended store format acquisition step (S1208), move-in recommended store format output This is a processing method including a step (S1209) and a business format suitability index calculation step (S1210). These processing methods assign occupancy space identification information to each store occupancy space in the shopping district, and indicate whether or not the store is occupying, the format of the store when occupying, and the business hours and occupancy of the store when occupying. The store information holding department, which holds store information including the gender and age of the assumed customer base of the store, and the business type, regardless of whether or not the business type is held by the store information holding department, A business format data holding unit that holds business format data that associates the age and gender of the optimal customer group suitable for that business format, acquired passerby age and gender distribution information, acquired assumed customer group age and gender distribution information, and Based on the retained business format data, it is a rule for calculating the index indicating the appropriateness of the business format indicated by the store information of the store space in which the user is occupying. It is executed by a survey system for revitalizing a shopping district that has an index calculation rule holding unit.

"Video acquisition step", "Gender and age estimation step", "Passer information accumulation step", "Passer age and gender distribution information acquisition step", "Assumed customer group age and gender distribution information acquisition step" and "Passer store opening time" The contents of the "change calculation step", the "age / gender comparison output step", the "recommended store format acquisition step", and the "recommended store format output step" are as described in Example 1, Example 2, and Example 3. is there.

The "business format appropriateness index calculation step" is a store that is occupying based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data. This is the stage of calculating the index indicating the appropriateness of the business format indicated by the store information of the store in which the customer is occupying, using the store information of the space and the stored business format suitability index calculation rule.

<Summary>
From these, it is possible to easily judge whether or not the business format of the store in which the customer is occupying is appropriate.

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

Claims (12)

A passerby observation camera for acquiring images of passersby passing through the inflow route of people into the shopping district, and
An image acquisition unit that acquires images from a passerby observation camera,
A gender-age estimation unit that assigns passer-by identification information to each passerby shot from the acquired video and estimates the gender and age of the passerby shot in association with the shooting time.
A passerby information storage unit that stores passerby information, which is information related to the passerby identification information and the estimated gender and age of the passerby associated with the shooting time.
By assigning occupancy space identification information to each store occupancy space in the shopping district, the presence or absence of occupancy of the store, the business format of the store if occupying, the business hours of the store if occupying, and the occupancy The store information holding department, which holds store information including the gender and age of the assumed customer base of the store when there is
A passerby store opening time change calculation unit that calculates a time change between the number of passersby and the number of store openings using the accumulated passerby information and the stored store information.
A survey system for revitalizing the shopping district with. Passerby age gender distribution information acquisition unit that acquires passerby age gender distribution information showing the passerby gender and age distribution using the accumulated passerby information,
The assumed customer group age gender distribution information acquisition unit that acquires the assumed customer group age gender distribution information that shows the gender and age distribution of the store using the accumulated store information,
An age-gender comparison output unit that outputs the acquired passerby age-gender distribution information in a comparable manner with the acquired assumed customer group age-gender distribution information.
The investigation system for revitalizing the shopping district according to claim 1, further comprising. Regardless of whether the business format is held in the store information holding department, the business format data holding department that holds the business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format, and the business format data holding department.
Based on the acquired passerby 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 is the business format of the store that should be moved in. Move-in recommended store format acquisition department to acquire store format, and
The occupancy recommendation store format output unit that outputs the acquired occupancy recommendation store format, and
The investigation system for revitalizing the shopping district according to claim 2, further comprising. Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the appropriateness of the business format indicated by the store information of the store space in which the customer is occupying. The business format suitability index calculation rule holding unit that holds the business format suitability index calculation rule, which is a rule for calculating the index indicating
Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the store information of the store space in which the customer is occupying and the retained business format The business format suitability index calculation unit that calculates the index indicating the suitability of the business format indicated by the store information of the store in which the customer is occupying using the appropriateness index calculation rule,
The investigation system for revitalizing the shopping district according to claim 3, further comprising. By assigning occupancy space identification information to each store occupancy space in the shopping district, the presence or absence of occupancy of the store, the business type of the store when occupying, the business hours of the store when occupying, and the occupancy It is an operation method of a survey system for revitalizing a shopping district that has a store information holding unit that holds store information including the gender and age of the assumed customer base of the store.
An image acquisition step for acquiring an image of a passerby passing through the inflow route of people into the shopping district, and
Gender and age estimation steps that give passer identification information to each passerby shot from the acquired video and estimate the gender and age of the passerby shot in association with the shooting time, and
A passerby information storage step for accumulating passerby information, which is information related to the passerby identification information and the estimated gender and age of the passerby associated with the shooting time, and
Passerby store opening time change calculation step that calculates the time change between the number of passersby and the number of store openings using the accumulated passerby information and the retained store information, and
How to operate the survey system for revitalizing the shopping district with. Passerby age gender distribution information acquisition step to acquire passerby age gender distribution information showing the passerby gender and age distribution using the accumulated passerby information, and
Using the accumulated store information, the gender of the assumed customer group of the store and the assumed customer group that shows the distribution of age Gender distribution information acquisition step of the assumed customer group age gender distribution information acquisition step
An age-gender comparison output step that outputs the acquired passerby age-gender distribution information in a comparable manner with the acquired assumed customer group age-gender distribution information.
The method of operating the investigation system for activating the shopping district according to claim 5, further comprising. It also has a business format data holding department that holds business format data that associates the business format with the age and gender of the optimal customer group suitable for that business format, regardless of whether the business format is held in the store information holding department. It is a method of operating the survey system for revitalizing the shopping district.
Based on the acquired passerby 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 is the business format of the store that should be moved in. Move-in recommended store format acquisition step to acquire store format, and
The method of operating the survey system for activating the shopping district according to claim 6, further comprising a step of outputting the acquired recommended occupancy store format. Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the appropriateness of the business format indicated by the store information of the store space in which the customer is occupying. It is a method of operating a survey system for revitalizing a shopping district that further has a business format suitability index calculation rule holding unit that holds a business format suitability index calculation rule, which is a rule for calculating an index indicating.
Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the store information of the store space in which the customer is occupying and the retained business format The activity of the shopping district according to claim 7, further comprising a business format appropriateness index calculation step for calculating an index indicating the appropriateness of the business format indicated by the store information of the store in which the user is occupying using the appropriateness index calculation rule. How to operate the survey system for conversion. By assigning occupancy space identification information to each store occupancy space in the shopping district, the presence or absence of occupancy of the store, the business type of the store when occupying, the business hours of the store when occupying, and the occupancy This is a survey program that can be read and executed by a survey system device for revitalizing a shopping district, which is a computer equipped with a store information holding unit that holds store information including the gender and age of the assumed customer base of the store. ，
An image acquisition step for acquiring an image of a passerby passing through the inflow route of people into the shopping district, and
Gender and age estimation steps that give passer identification information to each passerby shot from the acquired video and estimate the gender and age of the passerby shot in association with the shooting time, and
A passerby information storage step for accumulating passerby information, which is information related to the passerby identification information and the estimated gender and age of the passerby associated with the shooting time, and
Passerby store opening time change calculation step that calculates the time change between the number of passersby and the number of store openings using the accumulated passerby information and the retained store information, and
A survey program that is readable and executable in a survey system device for activating a shopping district, which is a computer with. Passerby age gender distribution information acquisition step to acquire passerby age gender distribution information showing the passerby gender and age distribution using the accumulated passerby information, and
Using the accumulated store information, the gender of the assumed customer group of the store and the assumed customer group that shows the distribution of age Gender distribution information acquisition step of the assumed customer group age gender distribution information acquisition step
An age-gender comparison output step that outputs the acquired passerby age-gender distribution information in a comparable manner with the acquired assumed customer group age-gender distribution information.
A survey program described readable and executable in a survey system device for activating a shopping district, which is the computer according to claim 9. It also has a business format data holding department that holds business format data that associates the business format with the age and gender of the optimal customer group suitable for that business format, regardless of whether the business format is held in the store information holding department. This is a survey program that can be read and executed by the survey system device for activating the shopping district, which is a computer.
Based on the acquired passerby 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 is the business format of the store that should be moved in. Move-in recommended store format acquisition step to acquire store format, and
A survey program described in a survey system device for activating a shopping district, which is the computer according to claim 10, further comprising a step of outputting the acquired recommended occupancy store format. Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the appropriateness of the business format indicated by the store information of the store space in which the customer is occupying. It is a rule for calculating the index indicating that the business format suitability index calculation rule is held. The business format suitability index calculation rule holding unit is further provided. It can be read and executed by the survey system device for activating the shopping district. This is the research program I wrote.
Based on the acquired passerby age and gender distribution information, the acquired assumed customer group age and gender distribution information, and the retained business format data, the store information of the store space in which the customer is occupying and the retained business format The store which is the computer according to claim 11, further comprising a business format appropriateness index calculation step for calculating an index indicating the appropriateness of the business format indicated by the store information of the store in which the user is occupying using the appropriateness index calculation rule. Survey system for revitalizing the city A survey program that can be read and executed on the device.

Images