WO2020065919A1 - Système d'enquête et procédé d'enquête pour revivifier une rue commerçante - Google Patents

Système d'enquête et procédé d'enquête pour revivifier une rue commerçante Download PDF

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Publication number
WO2020065919A1
WO2020065919A1 PCT/JP2018/036264 JP2018036264W WO2020065919A1 WO 2020065919 A1 WO2020065919 A1 WO 2020065919A1 JP 2018036264 W JP2018036264 W JP 2018036264W WO 2020065919 A1 WO2020065919 A1 WO 2020065919A1
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Prior art keywords
store
age
information
passer
gender
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PCT/JP2018/036264
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English (en)
Japanese (ja)
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枝里 川中子
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枝里 川中子
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Priority to JP2020547795A priority Critical patent/JP7229564B2/ja
Priority to SG11202108163XA priority patent/SG11202108163XA/en
Priority to PCT/JP2018/036264 priority patent/WO2020065919A1/fr
Publication of WO2020065919A1 publication Critical patent/WO2020065919A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to a survey system and a survey method for activating a shopping street.
  • a shopping mall including a shopping mall
  • an appropriate tenant enters for each occupied space, and that appropriate products and services be sold and provided at appropriate times. If the analysis or judgment of the appropriateness is wrong, it will become a shopping street with only tenants closed, such as a so-called shutter street.
  • Patent Document 1 As a prior art, the following Patent Document 1 can be mentioned at best.
  • Patent Literature 1 is a customer layer analysis device that analyzes the customer layer of customers who visit a store. As a specific configuration, a customer layer of a person who appears in an imaging area set to image a customer heading from a guidance waiting area near a store entrance to a customer seat from the front is determined. Information is obtained, and it is determined from the behavior form of the person appearing in the imaging region whether or not the person is the customer to be analyzed. Aggregation means for subjecting the customer segment information to a target, and generating customer segment trend information relating to the tendency of change in the customer segment-based number based on the time-series acquired customer segment-based number of persons in a predetermined period unit.
  • Patent Literature 1 is intended for “customers who have visited a store”, so that even a passerby who has the potential to visit the store, as long as it does not come to the store, It was not the target of the analysis and could not achieve its goal of developing a new customer base that was overlooked in the first place.
  • Patent Literature 1 Although it is information that contributes to analysis in order for the tenant to efficiently operate the store toward the existing customer group, it seeks to develop new customers, and the shopping district including the shopping mall The problem remains that it does not lead to activation when viewed as a whole.
  • the present invention seeks to cultivate a new customer class that has been overlooked, such as a passerby who has the potential to visit a store, and to activate this when viewed as a whole shopping street. Therefore, an object of the present invention is to provide a system capable of improving the entire shopping district.
  • the present invention provides a pedestrian observation camera for acquiring an image of a pedestrian traveling on an inflow route of a person to a shopping street, and an image acquisition for acquiring an image of a pedestrian observation camera.
  • a gender age estimating unit for assigning passer identification information for each passerby taken from the acquired video and estimating the gender and age of the passerby taken in association with the shooting time, and passer identification information
  • a passer information storage unit for storing passer information that is information relating the estimated gender and age of the passer associated with the shooting time, and occupancy space identification information for each store occupancy space in the shopping street.
  • Store information including the presence or absence of a store occupancy, the business type of the store if occupied, the business hours of the store if occupied, and the gender and age of the assumed customer demographic of the store if occupied Store information
  • a shopping street having a storage unit and a passer store opening time change calculating unit that calculates a time change between the number of passers and the number of store openings using the stored passer information and the stored store information.
  • a passer age / sex distribution information acquisition unit that acquires passer age and gender distribution information indicating a distribution of the passers using the accumulated passer information, Gender of the expected customer demographic of the store using the information of the presumed customer, and the expected customer demographic age / gender distribution information acquisition unit that obtains the distribution of the expected customer demographic age / sex distribution indicating the age distribution.
  • a survey system for activating a shopping mall which further includes an age and gender comparison output unit that outputs information and the obtained assumed customer group age and gender distribution information in a comparable manner.
  • a business format data storage unit that stores business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format. Based on the obtained passer age and gender distribution information and the stored store information, the stored business format data is a recommended store that is a business format of a store to be occupied when there is a store space that is not occupied.
  • a survey system for activating a shopping district further including a recommended-enterprise-store-type acquisition unit for acquiring a type of business, and an entry-recommended-store type of business output unit for outputting the acquired recommended-store type.
  • a business form appropriateness index calculation rule holding unit that holds a business form appropriateness index calculation rule, which is a rule for calculating the indicated index, and the obtained passer-age gender distribution information and the obtained expected customer demographic age-gender distribution information; Based on the stored business format data, the appropriateness of the business format indicated by the store information of the occupied store using the store information of the occupied store space and the stored business format adequacy index calculation rule And a business system appropriateness index calculating unit for calculating an index indicating the following.
  • An operation method corresponding to such an inspection system and an inspection program described in a read-executable manner in an inspection system device as a computer are provided.
  • FIG. 2 is a diagram illustrating a functional configuration of a survey system according to the first embodiment.
  • FIG. 2 is a diagram illustrating a hardware configuration of a survey system according to the first embodiment.
  • FIG. 5 is a diagram illustrating a processing flow of the investigation system according to the first embodiment.
  • FIG. 7 is a diagram illustrating a functional configuration of a survey system according to a second embodiment.
  • FIG. 7 is a diagram illustrating a hardware configuration of a survey system according to a second embodiment. The figure which shows the flow of a process of the investigation system in Example 2.
  • FIG. 9 is a diagram illustrating a functional configuration of a survey system according to a third embodiment.
  • FIG. 13 is a diagram illustrating a hardware configuration of a survey system according to a third embodiment.
  • FIG. 14 is a diagram illustrating a hardware configuration of a survey system according to a fourth embodiment. The figure which shows the flow of a process of the survey system in Example 4.
  • a diagram that outlines how to estimate the gender and age of passers-by Diagram showing an example of accumulated passer-by information A diagram showing an example of the contents of the stored shop information Diagram showing an example of business format data to be retained Diagram showing an example of business format adequacy index calculation rules and actual calculation contents
  • Diagram showing an example of the content of the business format appropriateness index calculation related to age Diagram showing an example of a graph in which the horizontal axis represents the time axis and the vertical axis represents the number of passers and the store opening rate for the relationship between the number of passers and the store opening rate in a specific passer attribute.
  • the present embodiment obtains images of passers-by who pass on the inflow route of people into the shopping street, estimates the sex and age of each passer-by taken from the acquired video by associating them with the shooting time, and Accumulates information and determines whether or not a store is occupied for each store occupancy space in the shopping street, the type of store if occupied, the business hours of the store if occupied, and the estimated customer of the store if occupied.
  • FIG. 13 is a diagram showing the flow of people in a shopping street.
  • the “shopping street” includes a street where many shops are arranged, but is not limited thereto, and the flow of people (regardless of whether it is linear or dispersive) within one building.
  • FIG. 13 shows an example of a street where many shops are arranged, and a pedestrian passes through a street where many shops “SHOP” are lined up from a station section “STATION”.
  • the flow of passersby changes depending on, for example, the presence of a station or the like.
  • the flow and attributes of passers-by also change depending on the time zone.
  • An object of the present invention is to provide a survey system for activating a shopping street based on information on the number and attributes of passers-by who pass through the shopping street on a time axis.
  • FIG. 1 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment.
  • the survey system according to the present embodiment includes a passerby camera (0101), a video acquisition unit (0102), a gender age estimation unit (0103), a passer information storage unit (0104), a store information storage unit (0105), and a passerby store. It has a store opening time change calculation unit (0106).
  • a passerby camera (0101)
  • a video acquisition unit (0102
  • a gender age estimation unit (0103
  • a passer information storage unit (0104
  • a store information storage unit (0105) a passerby store.
  • It has a store opening time change calculation unit (0106).
  • the contents of each function will be specifically described.
  • the “passenger observation camera” is a function for acquiring an image of a pedestrian who travels on the inflow route of a person into the shopping district.
  • the pedestrian observation camera is installed at a relatively high position in order to prevent the camera from being broken down or damaged by mischief of a person.
  • the face is an important element of photographing, it is preferable to set the focus of the pedestrian observation camera at a relatively long distance in order to capture the face relatively clearly. Otherwise, you can only shoot above the passerby's head. For example, it is preferable to set so as to capture an image at a position of about 10 m or more and 20 m or less.
  • the “inflow route” refers to a route through which people enter and exit the shopping mall, and need not be one.
  • the “inflow path” also functions as the outflow path. Therefore, a plurality of passerby cameras may be installed in one shopping street.
  • a single shopping mall is composed of a plurality of small shopping streets. In this case, once a pedestrian who has flowed into the large inflow route is once photographed by a passerby camera, the traffic flows into the small shopping street. In doing so, the same person may be observed again by a passerby camera and analyzed.
  • the inflow of the pedestrian into the shopping street is caught and passed to post-processing.
  • the face of an incoming pedestrian can be captured, but the face of an outgoing pedestrian is not captured, and an image of only the incoming pedestrian is transmitted to an image acquisition unit described later. May be performed.
  • all images of passers-by are transmitted to the image acquisition unit, but the image acquisition unit is configured to output only the information of passers-by to the gender age estimating unit, which will be described later, only for the inflowing passers-by. May be.
  • the information of the pedestrian in both directions is processed by distinguishing the inflow and the outflow.
  • a passerby observation camera is installed in both directions at a specific position in the middle of the shopping street, the residence time of each passerby at a predetermined block in the shopping street can be acquired and distributed to the shopping street.
  • the analysis is performed together with the attribute information of the store, the association between the staying time of each passerby and the attribute of the staying store can be obtained.
  • the moving speed of the pedestrian in the predetermined block can be grasped.
  • the average passing speed of passers-by per store is calculated based on the number of stores in the block, or the average passing speed of passers-by is calculated based on the visitor space of stores in the block. can do. From this and the attributes of the stores in the block, it is also possible to calculate the average passing speed of the pedestrians per store attribute or store attribute ⁇ store area from the store attributes. As a result, it becomes possible to analyze and calculate store attributes that are interesting to passers-by.
  • FIG. 14 is a diagram schematically showing a shopping street viewed from above.
  • There is one passage “SHOPPING @ STREET” (note that the passage is one here, but if there are two or more passages, of course, there is no problem, and within the scope of the present invention. is there.).
  • a description will be given assuming that the flow of passers-by flows from the direction in which the occupied spaces of "R” and “Q” exist to the direction in which the occupied spaces of "A” and "H” exist.
  • the “passerby camera” there is a camera called “CAMERA1” on the entrance side of the shopping street in view of the flow of passersby, and there is a camera called “CAMERA2” on the exit side of the shopping street in view of the flow of passersby.
  • the existing place is not limited to the entrance and the exit of the shopping street, and may be installed at a predetermined interval, such as at every two entering spaces.
  • an installation mode may be adopted in which one location is photographed from a plurality of directions so that the gender and age of the passerby can be easily estimated.
  • the “image acquisition unit” is a function for acquiring an image of a pedestrian observation camera.
  • the “video acquisition unit” may be provided with a configuration for eliminating duplication of passers-by. Specifically, if the processing is not performed so that the image of only the passerby flowing in by the passerby observation camera is transmitted to the image acquisition unit, the image of the specific passerby is duplicated.
  • the image acquisition unit may have a configuration in which, for example, only the inflowing pedestrian is acquired and the outflowing pedestrian is not acquired. In particular, it is possible to identify the same person by using the distance ratio of eyes, nose, teeth, etc.
  • a configuration is adopted such that a person is doubly identified and the same person is not double counted or recognized as another person.
  • the “sex-age estimation unit” has a function of adding passer-by identification information to each passer-by photographed from the acquired video and estimating the sex and age of the passer-by photographed in association with the photographing time.
  • FIG. 15 is a diagram showing an outline of a method for estimating the gender and age of a passer-by as an example.
  • features of a passerby are extracted from a face part “FACE” and a body part “BODY”. More specifically, for the face part, the coordinates of the left eye “x2 ⁇ y2” as “L ⁇ eye”, the coordinates of the left eye as “R ⁇ eye”, “x2 ⁇ y2”, and “nose” are set.
  • the coordinates of the nose “x1 ⁇ y1”, the coordinates of the mouth “x5 ⁇ y5” as “mouth”, and the coordinates of the left ear “x3 ⁇ y3” as “Lear” are obtained, and the coordinates are also obtained.
  • the characteristics of age and gender appear.
  • the body parts the overall balance, for example, whether the back muscles are stretched (young), the hips tend to bend (elderly), the way of walking, etc., for example, whether the stride length is large (young male tendency) or small (female The characteristics of age and gender appear in such cases as “trend” and "very small” (trend of elderly).
  • a passer-by possesses a high tendency to be female or a high tendency to male can be used to infer gender.
  • the bag in hand is a handbag
  • the tendency of young women is increased
  • the bag is a business type the tendency of young men is increased.
  • Higher heels in shoes are more likely to be young women, while lower heels are more likely to be men or older women.
  • the above characteristics are analyzed as a whole, and the gender and age of the passer are estimated by associating the passer identification information with the shooting time information.
  • the age and gender may be configured such that the AI is initially educated based on the image information and the labeling attached to the image information, and the AI is used for automatic discrimination.
  • the image information obtains values for each of several hundred identification elements, and forms a gender and age discrimination space of several hundred dimensions by labeling, and uses this space to determine gender and age from individual images.
  • a technique of estimating can also be used.
  • the estimated age is roughly described in the following description of the specification, such as “VY” (very young), “Y” (young), “M” (middle), “O” (old), but of course. It may be in units of 10 years, such as “teens”, “20s”, “30s”, or may be more detailed in units of one year.
  • the “passer information storage unit” has a function of storing passer information, which is information that associates passer identification information with the estimated gender and age of the passer associated with the shooting time.
  • FIG. 16 is a diagram illustrating an example of the accumulated passer-by information.
  • the photographing time, passer-by identification information, gender and age information are stored in association with each other.
  • the shooting time is “18:36” (18:36), the gender is “male”, and the age is “M”.
  • the shooting time is “18:36” (18:36), the gender is “female”, and the age is “M”.
  • the shooting time is “18:36” (18:36), the gender is “male”, and the age is “Y”.
  • the shooting time is “18:38” (18:38)
  • the gender is “male”
  • the age is “O”.
  • the gender and age are the gender and age inferred from the passer-by image by the gender age estimator.
  • the “store information holding unit” is provided with occupancy space identification information for each occupancy space of the above-mentioned shopping mall, and determines whether or not the occupancy of the occupancy of the store, the type of the occupancy of the premises, Is a function of storing store information including the business hours of the store and the gender and age of the assumed customer segment of the store when the store is occupied.
  • FIG. 17 is a diagram illustrating an example of the content of the stored shop information.
  • “SHOP @ ID” indicates the occupancy space identification information
  • "M / W” is the gender of the assumed customer group
  • "M” is male
  • "W” is female
  • "VY, Y, M, O "VY” is very young, for example 3 to 15 years old
  • "Y” is young, for example 16 to 22 years old
  • M is middle age
  • "O” is old age , Meaning 51 years old or older.
  • "0-6-12-18-24” indicates business hours on a time axis from 0:00 to 24:00.
  • the “passer store opening time change calculation unit” is a function of calculating a time change between the number of passers and the number of store openings using accumulated passer information and stored store information. .
  • the “number of stores opened” includes, in addition to the number of stores that have been opened, the opening ratio of all or a part of the tenants occupying the stores in the shopping district as a population.
  • "passenger number” is the number of people perceived by the passer-by observation camera itself, as well as the ratio of 100% to the maximum number of passers-by-hours in the shopping district (unit of ratio is 100%). , 1% unit, 5% unit, 10% unit, 100% as 1.0, and the ratio to these may be shown.)
  • the unit for counting the number of passers may be processed not in units of one person but in units of five people or ten people.
  • the calculation of the time change can be performed using various time units such as 1 minute unit, 5 minute unit, 10 minute unit, 30 minute unit, and 60 minute unit. Also, by outputting the number of passers by gender and age of passers-by, it is possible to compare with the number of stores opened by time of the store, and to output and compare by store business type and assumed customer class.
  • FIG. 22 shows an example of a graph in which the horizontal axis represents the time axis and the vertical axis represents the number of passers-by and the store opening rate of the store in relation to the number of passers-by and the store opening rate in a specific passer-attribute of “teen female”.
  • FIG. According to this graph, for example, the store opening rate at 13:00 is 100%, but the number of “teenage female” passengers in the time zone is 24. On the other hand, the opening rate of the store at 18:00 is about 70%, and the number of “teenage female” passengers in that time zone is 120.
  • the gender age estimating unit may have a function of uniquely identifying the person from the face image of the passerby.
  • Unique means unique, meaning that once identified, it is identifiably identified with other passer-by image information.
  • the passer information storage unit stores the passer as unique history information in association with the unique identification result. Therefore, when the passers once accumulated in the history pass through the shopping street at a later date, it is determined by referring to the history that the same person is again passing through the shopping street. Then, it may be configured to perform a process of updating the history stored for the person with the traffic history of the shopping mall at a later date.
  • the history information of this passerby is not only the date, time, and day of the week, but also events in the shopping mall related to the date and time, weather, and other events that affect the traffic of the shopping street (nearby It is preferable that the information be held in association with a festival parade in the town, an economic situation such as suspension of operation due to a train accident, a stock market crash, a nearby concert or drama, or a location on a television station. Further, the date and time or the total sales of the shopping street on that day, the sales of each store in the shopping street, and the like may be associated with each other.
  • ⁇ Notice of each repeat customer to each store> For a pedestrian in a shopping street, the entire shopping street can be photographed by a camera, or a function of tracking a smartphone or the like can be used to determine how the user has moved in the shopping street. Then, it is also conceivable that the behavior of the person (uniquely identified) can be obtained. For example, it is conceivable to configure so that which store in the shopping street was visited and how many times, and as the store information, the product and the amount of money purchased at the time of the visit can be associated with each other. It is preferable to accumulate such behavior attributes as the history information. When a passerby is recognized, the history information of the passer is searched and the attribute is acquired.
  • FIG. 2 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment.
  • the investigation system in this embodiment includes a “CPU (Central Processing Unit)” (0201) for performing various arithmetic processing and a “main memory” (0202).
  • an “HDD” (0203) for holding predetermined information and a “network I / F (interface)” (0204) for transmitting / receiving information to / from an external device (0206) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (0205), and perform transmission / reception and processing of information.
  • a data communication path such as a “system bus” (0205)
  • the external devices include an optical device that constitutes a pedestrian observation camera, a microphone that captures the sound of a shopping street (analyzes the voices of people in the shopping street and the clerk's voice after recording), a display, a keyboard, an input pad, and an external device.
  • Storage device Internet terminal device, motion sensor (detects people entering and exiting stores), GPS system (measuring terminal positions included in distribution items in shopping streets, and measuring the movement of people in the shopping streets) Observation), street speakers in shopping streets (calling to passers-by in shopping streets), smartphones, tablets, mobile terminal communication functions (push information to smartphones of registered passers-by, etc.), location information beacon systems (shopping streets) Of the pedestrian in detail from the beacon detection device of the pedestrian). The same applies to the following embodiments.
  • the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program.
  • a plurality of addresses are assigned to each of the “main memory” and the “HDD”, and programs executed by the "CPU” exchange data by specifying and accessing the addresses. It is possible to perform processing.
  • the programs stored in the “main memory” are a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store opening time change calculation program. is there.
  • the “main memory” and the “HDD” store passer image, passer information which is information relating passer identification information, shooting time, gender and age, store information, and the like.
  • the “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age.
  • a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied. Then, a passer store opening time change calculation program stored in the "main memory” is executed, and the number of passers and the opening of the store are determined using the accumulated passer information and the stored store information. Calculate the time change with a number.
  • FIG. 3 is a diagram illustrating a flow of processing when the survey system according to the present embodiment is used.
  • a processing method including a video acquisition step (S0301), a gender age estimation step (S0302), a passer information accumulation step (S0303), and a passer store opening time change calculation step (S0304). It is.
  • occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied.
  • a survey system for activating a shopping street having a store information holding unit that holds store information including the gender and age of the assumed customer group of the store is executed.
  • the “image acquiring step” is a step of acquiring an image of a pedestrian who travels on the inflow route of the person into the shopping street.
  • the “gender age estimation step” is a step of assigning passer identification information to each passerby photographed from the acquired video and estimating the sex and age of the passerby photographed in association with the photographing time.
  • the “passer information storing step” is a step of storing passer information which is information in which the passer identification information and the estimated gender and age of the passer associated with the photographing time are associated.
  • the “passer store opening time change calculation step” is a stage of calculating a time change between the number of passers and the number of store openings using the accumulated passer information and the stored store information. .
  • passer age and gender distribution information indicating the gender and age distribution of passers is obtained using accumulated passer information, and the stored stores are obtained.
  • This is a survey system for revitalizing shopping streets, which obtains estimated customer demographic age and gender distribution information indicating the gender and age distribution of the assumed customer demographic of the store using the information and outputs them in a comparable manner.
  • FIG. 4 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment.
  • the survey system in this embodiment includes a passerby camera (0401), a video acquisition unit (0402), a gender age estimation unit (0403), a passer information storage unit (0404), a store information holding unit (0405), and a passerby store. It has a store opening time change calculation unit (0406), a passer age and gender distribution information acquisition unit (0407), an assumed customer demographic age and gender distribution information acquisition unit (0408), and an age and gender comparison output unit (0409).
  • a passerby camera (0401), a video acquisition unit (0402), a gender age estimation unit (0403), a passer information storage unit (0404), a store information holding unit (0405), and a passerby store.
  • It has a store opening time change calculation unit (0406), a passer age and gender distribution information acquisition unit (0407), an assumed customer demographic age and gender distribution information acquisition unit (0408), and an age and gender comparison output unit (0409).
  • the functions are the same as in the first embodiment. The description will be limited to the functions of the assumed customer demographic age / sex distribution information acquisition unit and the age / sex comparison output unit.
  • the “passer age and gender distribution information acquisition unit” has a function of acquiring passer age and gender distribution information indicating the distribution of the passer's gender and age using the accumulated passer information.
  • the “estimated customer demographic age / gender distribution information acquisition unit” is a function that uses the stored store information to acquire the expected customer demographic and gender distribution information indicating the distribution of the expected customer demographics of the store and the age distribution.
  • the number of assumed customers at a store for example, in terms of gender, out of the total number of stores, the number of stores with men as assumed customers, the number of women as assumed customers, or the number of assumed customers The number may be based on the degree of importance or the attributes of actual past visitors. Further, for example, the age may be a number based on the degree of importance of the assumed customer or the attribute of the actual past visitor, as well as whether or not the age is targeted as a business strategy of the store.
  • the “age / sex comparison output unit” has a function of outputting the acquired passer age / sex distribution information and the acquired expected customer demographic / age / sex distribution information in a comparable manner.
  • the content of the comparison output may have various comparison output forms.
  • the simplest is to compare the age distribution of the total number of passers-by in the shopping street within a given period with the expected customer's age distribution of all stores in the shopping street, This is to compare the gender distribution of expected customers.
  • the distribution of sex and age of all passers-by may be compared with the distribution of sex and age of expected customers of all stores.
  • the above-mentioned comparison may be performed by dividing the predetermined period by time and using the assumed customers of the stores that are opened by time as information. The time may be a specific day or an average of one month.
  • Seasons are from April in the new semester to June in the rainy season, from June in the rainy season to July in summer, from the end of July to the end of August including the Bon holiday, and from September to the winter season. From the end of September to the end of September, from the end of September to the beginning of December when the year-end party begins, from the beginning of December to the end of January at the end of the year, and from the end of January to the end of March when the new semester starts. Periods can be set to separate seasons by demand.
  • the comparison between the attributes that can be obtained or estimated by image recognition of passers-by and the attributes provided based on the type of business and the type of business in the mall was based on age and gender. It is conceivable to do the same.
  • the attributes that can be obtained from the image of passers-by include fashion trends (crossdressing, mods coat, parka, ivy look, Akiba-kei, Miss Age, Amler, American casual, American traditional, emo fashion, old fashion, Older brother, older sister, olive girl, ganguro, gibson girl, gal, gal man, grunge fashion, kobe fashion, kogal, gothic fashion, conservatory fashion, gothic lolly, surfer, cyber goth, cyber fashion, sap, Salon, Street Fashion, Slowney, Sloane Fashion, Sweater Girl, Center GUY, Deta, Dandy, Delicer, Traditional, Nipokaji, Neutra, Hard Gay, Hamatra, Bangkara , Punk, B type, hippie, hip hop, flapper, marine, Miyuki, metro ethnicity, metrosexual, modal type, mod, Mori Girl, Yama Girl, Yankee, Unisex, Real Close, Rockers, Lolita, etc.) And estimated value of income
  • attribute analysis instead of inferring attributes from images, it is possible to perform attribute analysis as described above using, for example, a response to a questionnaire from a shopping street and identification information that can be identified from a respondent's face image.
  • a similar analysis can be performed with the response result of
  • the user can be registered in a shopping mall or an SNS hosted by a system administrator, and an attribute can be acquired using information on the SNS.
  • This attribute can be obtained by analyzing the utterance of each person on the SNS, or may be obtained by answering a utterance in the form of a question such as an avatar constituted by a personified computer.
  • FIG. 5 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment.
  • the investigation system in this embodiment includes a “CPU (Central Processing Unit)” (0501) for performing various arithmetic processing and a “main memory” (0502). It also has an “HDD” (0503) for holding predetermined information and a “network I / F (interface)” (0504) for transmitting and receiving information to and from an external device (0506). Then, they are mutually connected by a data communication path such as a “system bus” (0505), and perform transmission / reception and processing of information.
  • CPU Central Processing Unit
  • the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program.
  • a plurality of addresses are assigned to each of the "main memory” and the “HDD”, and programs executed by the "CPU” exchange data by specifying and accessing the addresses. It is possible to perform processing.
  • the programs stored in the "main memory" are the same as those in the first embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store.
  • a passerby observation program a video acquisition program
  • a gender age estimation program a passer information storage program
  • a store information holding program a passer store
  • a passer store a passer store
  • the store opening time change calculation program there are a passer age and gender distribution information acquisition program, an expected customer group age and gender distribution information acquisition program, and an age and gender comparison output program.
  • the “main memory” and the “HDD” include passer image, passer information which is information in which passer identification information, shooting time, gender and age are associated, store information, and the like. Is stored. Furthermore, the present embodiment is characterized in that passer-age age-gender distribution information indicating the distribution of gender and age of passers-by and assumed-customer-age age-gender distribution information indicating the distribution of gender and age of the assumed customer segment are also stored. There is.
  • the “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age.
  • a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied.
  • the passer age and gender distribution information acquisition program stored in the “main memory” the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”.
  • FIG. 6 is a diagram illustrating a flow of processing when the investigation system according to the present embodiment is used.
  • occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied.
  • a survey system for activating a shopping street having a store information holding unit that holds store information including the gender and age of the assumed customer group of the store is executed.
  • the “passenger age / gender distribution information acquisition step” is a step of acquiring the assumed customer demographics of the store and the assumed customer demographic age / sex distribution information indicating the age distribution using the stored store information.
  • the “estimated customer demographic age / gender distribution information acquisition step” is a step of acquiring passer age and gender distribution information indicating the gender and age of the passer by using the accumulated passer information.
  • the “age / sex comparison output step” is a stage in which the acquired assumed customer age / sex distribution information is output in a comparable manner.
  • FIG. 7 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment.
  • the survey system in this embodiment includes a passerby observation camera (0701), a video acquisition unit (0702), a gender age estimation unit (0703), a passerby information storage unit (0704), a store information storage unit (0705), and a passerby store.
  • Store opening time change calculation unit (0706) passer age and gender distribution information acquisition unit (0707), assumed customer demographic age and gender distribution information acquisition unit (0708), age and gender comparison output unit (0709), and business type data storage unit (0710)
  • the functions except for the business format data storage unit, the recommended store business format acquisition unit, and the recommended store business format output unit are the same as those in the second embodiment. The description is limited to the function of the store business format output unit.
  • the “business type data storage unit” is a business type data that associates a business type with the age and gender of the optimal customer group suitable for that business type, regardless of whether the business type is stored in the store information storage unit. This is the function to hold.
  • FIG. 18 is a diagram illustrating an example of business condition data to be held. It holds a large category for the business type, a small classification for the business type, the age of the optimal customer group suitable for the business type, the gender of the optimal customer group suitable for the business type, and business hours suitable for the business type.
  • the contents held in this drawing are merely examples, and the contents are not limited to these, and the contents are optimized according to the actual situation.
  • the age and gender of the optimal customer group suitable for the business type may be held in more detail. Specifically, for the optimal customer group, men and women up to 20 years old, but only men after 20 years old For example, the gender of the optimal customer group may change depending on the age.
  • the large category “Fast Food” has the small categories “Hamburger”, “Ramen” and “Donburi”.
  • the age of the optimal customer group is VY, Y and M
  • the gender of the optimal customer group is male and female
  • the appropriate business hours are from 24 hours to 04:00.
  • the age of the optimal customer segment is all ages
  • the gender of the optimal customer segment is gender
  • the appropriate business hours are from 10:00 to 24:00.
  • the ages of the optimal customer group are VY, Y and M
  • the gender of the optimal customer group is male and female
  • the appropriate business hours are from 12:00 to 20:00.
  • the age of the optimal customer segment is VY, Y and M, the gender of the optimal customer segment is male, and the appropriate business hours are from 12:00 to 20:00.
  • the age of the optimal customer group is M and O, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
  • the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
  • the large category “many menus” has the small categories “family restaurant”, "Chinese”, and "Italian”.
  • Family restaurant the ages of the optimal customer segment are VY, Y and M, the gender of the optimal customer segment is male and female, and the appropriate business hours are from 10:00 to 24:00.
  • 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.
  • the age of the optimal customer group is VY, Y and M, the gender of the optimal customer group is male and female, and the appropriate business hours are from 12:00 to 20:00.
  • the age of the optimal customer group is M and O
  • the gender of the optimal customer group is male and female
  • the appropriate business hours are from 18:00 to 24:00.
  • the age of the optimal customer group is VY, Y and M
  • the gender of the optimal customer group is male and female
  • the appropriate business hours are from 18:00 to 24:00.
  • the ages of the optimal customer segment are Y and M
  • the gender of the optimal customer segment is gender
  • the appropriate business hours are from 18:00 to 24:00.
  • the major category “alcohol only” includes the minor categories "pub”, "bar” and "snack”.
  • “pub” the ages of the optimal customer segment are Y and M, the gender of the optimal customer segment is gender, and the appropriate business hours are from 18:00 to 24:00.
  • the “bar” the ages of the optimal customer segment are M and O, the gender of the optimal customer segment is gender, and the appropriate business hours are from 21:00 to 24:00.
  • “snack” the age of the optimal customer group is M and O, the gender of the optimal customer group is male, and the appropriate business hours are from 21:00 to 24:00.
  • the “Recommended Store Business Type Acquisition Unit” is based on the acquired passer age and gender distribution information, the retained store information, and the retained business format data, when there is a store space that is not occupied.
  • a function of acquiring a recommended store business format which is a business format of a store to be moved into.
  • the “unoccupied store space” includes the case where there is already a building on the premises where a store can be entered, but is not limited to this. This includes possible land.
  • the use of vacant lots can be an effective improvement measure for revitalizing shopping streets including shopping malls.
  • the gender of passers-by is gender
  • the young age group is a young age group
  • a teenage woman shown in FIG. 22 is an important customer target of the shopping street to be analyzed.
  • the traffic of this target is mostly at 17:00 and 18:00.
  • the time period shown in FIG. 18 if a very young person “VY” is searched for a business type suitable for a woman “W”, “hamburger”, “ramen”, “donburi”, “okonomiyaki”, “Italian” , “Yakiniku” and “family restaurant”.
  • the “recommended entry store business format output unit” is a function of outputting the acquired recommended store business format.
  • the flow of the passerby and the attributes including the age and gender of the passerby are affected by the presence / absence, content, and location of the shopping district itself and the facilities surrounding the shopping district. For example, if a park is set up, there will be parents around the park (often in their twenties to early forties, and during weekday days the accompanying parents are often women). It tends to increase as a passerby. In terms of the flow of people, if a large shopping mall is provided, the number of passers-by going from the station to the large-scale mall will increase, and the number of passers-by in front of the store in the middle will increase.
  • the number of passers-by to the large shopping mall from the station immediately after the business start time increases, and the number of passers-by to the station at the end of business hours. Usually, it tends to increase.
  • the flow of the pedestrian and the route of the pedestrian change according to the surrounding facilities.
  • a route that is desirably passed by a pedestrian to activate the shopping street may be acquired. For example, if a pass-through between stores is improved to make it easier for passers-by to use the pass-through as an official passage, the flow of passers-by can be changed. Then, the number of passers-by in front of each store changes.
  • the information processing apparatus further includes a traffic route trend information holding unit that holds traffic route trend information that is a trend related to a route that is passed by a passerby, and stores the held business type data, the stored shop information, and the traffic route trend information.
  • the information processing device may further include a passage information acquisition unit that acquires appropriate passage maintenance information based on the information.
  • the “passage maintenance information” includes a place where it is desirable to provide a bypass, but is not limited thereto, and further preferably includes decoration contents of the bypass. This is because the passage route of a pedestrian is often greatly affected by the decoration contents of the passage. Then, in order to guide passers-by with the optimal attributes (including, but not limited to, age and gender) to the aisle where the loopholes have been prepared, the “Recommended occupancy” should be set to obtain the optimal business type.
  • Store business type acquisition unit ".
  • FIG. 8 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment.
  • the investigation system in the present embodiment includes a “CPU (Central Processing Unit)” (0801) for performing various arithmetic processes and a “main memory” (0802).
  • an “HDD” (0803) for holding predetermined information
  • a “network I / F (interface)” (0804) for transmitting and receiving information to and from an external device (0806) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (0805), and perform information transmission / reception and processing.
  • a data communication path such as a “system bus” (0805)
  • the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program.
  • a plurality of addresses are assigned to each of the "main memory” and the “HDD”, and programs executed by the "CPU” exchange data by specifying and accessing the addresses. It is possible to perform processing.
  • the programs stored in the “main memory” are the same as those in the second embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passer information storage program, a store information holding program, and a passer store.
  • the "main memory” and the "HDD” contain passer image information, passer information which is information relating passer identification information, shooting time, gender and age, and store information. It stores passer age gender distribution information indicating the gender and age distribution of passers-by, and assumed customer group age-gender distribution information indicating the gender and age distribution of the assumed customer segment. Furthermore, in this embodiment, in the present embodiment, business format data that associates the business format with the age and gender of the optimal customer group suitable for the business format, and when there is a store space that is not occupied, the occupancy recommendation that is the business format of the store to be occupied. It is characterized in that store business type information is also stored.
  • the “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age.
  • a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied.
  • the passer age and gender distribution information acquisition program stored in the “main memory” the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”.
  • the business format and the optimal customer suitable for that business format Stores business type data that associates the age and gender of the layer.
  • the tenant recommended store business type acquisition program stored in the “main memory” the acquired passer age and gender distribution information, the stored store information, and the stored business type data Based on this, if there is a store space that has not been occupied, a resident recommended store business type, which is the business type of the store to be occupied, is acquired. Then, the resident recommendation store business type output program stored in the “main memory” is executed to output the acquired resident recommendation store business type.
  • FIG. 9 is a diagram illustrating a flow of processing when the survey system according to the present embodiment is used.
  • This is a processing method including step (S0909).
  • occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied.
  • Store information that stores the store information including the gender and age of the assumed customer segment of the store, and whether the business format is stored in the store information storage unit, This is executed by a survey system for activating a shopping district having a business condition data holding unit for holding business condition data in which the age and the gender of the optimal customer group suitable for the business condition are associated.
  • the “enter recommended store business type acquisition step” is based on the acquired passer age and gender distribution information, the retained store information, and the retained business type data, when there is a store space that is not occupied. This is the stage of acquiring the recommended store business format, which is the business format of the store to be moved in.
  • the “entering recommended store business type output step” is a step of outputting the acquired moving-in recommended store business type.
  • the business format indicated by the store information of the store space occupied is appropriate.
  • Stores the business space appropriateness index calculation rule which is a rule for calculating the index indicating the gender, and stores the occupied store space based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business format data.
  • This is a survey system configured to calculate an index indicating the appropriateness of the business type indicated by the store information of the occupied store using the store information and the business type appropriateness index calculation rule.
  • FIG. 10 is a diagram illustrating a functional configuration of the investigation system according to the present embodiment.
  • the survey system in this embodiment includes a passerby camera (1001), a video acquisition unit (1002), a gender age estimation unit (1003), a passer information storage unit (1004), a store information storage unit (1005), and a passerby.
  • the functions except for the business format adequacy index calculation rule holding unit and the business format adequacy index calculation unit are the same as those of the third embodiment. The description is limited to this.
  • the “business type adequacy index calculation rule storage unit” is based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a function for holding a business form appropriateness index calculation rule that is a rule for calculating an index indicating the suitability of the business form indicated by the store information of the store space in which the store is located.
  • the influential customers in the shopping district are women in their teens, and the time zone where the number of traffic is large is at 17:00 or 18:00.
  • 12 of the 16 stores occupying the shopping street have "VY” as the assumed customer segment.
  • "Goro” a ramen shop of "SHOP @ ID @ C”
  • "VY” is assumed to be an assumed customer, but women are not assumed customers.
  • ramen is becoming popular not only with young men but also with young women with a sense of fashion.
  • the business type information of “Ramen” shown in FIG. 18 includes “VY” in the customer segment and also targets “W” as the customer segment.
  • the “business type adequacy index calculation unit” is a store occupied based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a function of calculating an index indicating the appropriateness of the business type indicated by the store information of the occupied store using the store information of the space and the stored business type appropriateness index calculation rule.
  • FIG. 19 is a diagram showing an example of the business format adequacy index calculation rule and the actual calculation content separately from the above.
  • the calculation rule can be optimized as appropriate, but for convenience of explanation, it is assumed that the calculation rule is obtained by multiplying the degree of coincidence between the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business type data. In practice, it is conceivable to weigh the peak time zone or to weight the main customer group that occupies most of the customer group among the assumed customer groups. explain.
  • the age of the optimal customer type suitable for the business type is all ages
  • the gender of the optimal customer type suitable for the business type is gender
  • the appropriate business hours are from 10:00 to 24:00.
  • the age of the assumed customer group is VY, Y, and M
  • the sex of the assumed customer group is male
  • the business hours are from 18:00 to 24:00.
  • the passers-by that pass through the aisle in front of the ramen shop "Goro" are male 7 for female and female 7 for gender.
  • VY is 4
  • Y M
  • M is 1
  • O is 1.
  • the degree of coincidence is 90% because VY, Y, and M occupy 90% of the whole, as shown in FIG.
  • women who occupy 70% of the total are excluded, so that the degree of coincidence can be determined to be 30%.
  • the business hours are 6/14 of the appropriate business hours of 14 hours, and thus can be determined to be 6/14. Therefore, a value obtained by multiplying these by "0.115" is an index indicating the appropriateness of the business type indicated by the store information of the store where the tenant is occupied.
  • FIG. 11 is a diagram illustrating a hardware configuration of the investigation system according to the present embodiment.
  • the investigation system in the present embodiment includes a “CPU (Central Processing Unit)” (1101) for performing various arithmetic processing and a “main memory” (1102).
  • an “HDD” (1103) for holding predetermined information and a “network I / F (interface)” (1104) for transmitting and receiving information to and from an external device (1106) are provided. Then, they are mutually connected by a data communication path such as a “system bus” (1105), and perform transmission / reception and processing of information.
  • a data communication path such as a “system bus” (1105)
  • the “main memory” reads out a program for performing various processes in order to cause the “CPU” to execute the program, and provides a work area that is also a work area of the program.
  • a plurality of addresses are assigned to each of the "main memory” and the “HDD”, and programs executed by the "CPU” exchange data by specifying and accessing the addresses. It is possible to perform processing.
  • the programs stored in the “main memory” are the same as those of the third embodiment, such as a passerby observation program, a video acquisition program, a gender age estimation program, a passership information storage program, a store information holding program, and a passership store. Opening time change calculation program, passer age and gender distribution information acquisition program, assumed customer demographic and gender distribution information acquisition program, age and gender comparison output program, business format data retention program, recommended store business format acquisition program, and recommended store business format output program.
  • a business form appropriateness index calculation rule holding program and a business form appropriateness index calculation program.
  • the “main memory” and the “HDD” store passer image, passer information which is information in which passer identification information, shooting time, gender, and age are associated, and store information.
  • Passenger age and gender distribution information showing the gender and age distribution of passers-by, assumed customer demographic age and gender distribution information showing the gender and age distribution of expected customer demographics, age and gender of the business type and the optimal customer demographic that is appropriate for the business type
  • store recommended store business type information which is the business type of the store to be moved in when there is a store space that is not occupied.
  • an index indicating the appropriateness of the business type indicated by the store information of the occupied store space is calculated based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business type data. It is characterized in that a business format appropriateness index calculation rule, which is a rule for this, is also stored.
  • the “CPU” executes a passerby observation program stored in the “main memory” to acquire an image of a passerby passing on the inflow route of the person to the shopping street, and the “CPU” and the “HDD” To be stored. Then, the image acquisition program stored in the “main memory” is executed to acquire the image of the passerby camera. Then, the gender / age estimation program stored in the “main memory” is executed, passer-by identification information is given to each passer-by photographed from the acquired video, and the passer-by photographed in association with the photographing time is given. Guess gender and age.
  • a store information holding program stored in the “main memory” is executed to add occupancy space identification information to each of the occupancy spaces of the shopping street, and to determine whether or not the occupant has entered the store, Store information including the business type of the store, the business hours of the store when the user is occupied, and the gender and age of the assumed customer class of the store when the user is occupied.
  • the passer age and gender distribution information acquisition program stored in the “main memory” the passer's gender and passer age and gender distribution information indicating the age distribution are stored using the stored passer information. It is acquired and stored in “main memory” and “HDD”.
  • the business format data storage program stored in the "main memory” By executing the business format data storage program stored in the "main memory”, regardless of whether the business format is stored in the store information storage unit, the business format and the age of the optimal customer group suitable for the business format And business type data in which gender and gender are associated. Then, the tenant recommendation store business type acquisition program stored in the “main memory” is executed, and the acquired passer-age age-gender distribution information and the acquired expected customer demographic age-gender distribution information are retained. If there is a store space that is not occupied, there is obtained a recommended store business format that is a business format of a store to be occupied based on the business format data. Then, the resident recommendation store business type output program stored in the “main memory” is executed to output the acquired resident recommendation store business type.
  • the business type appropriateness index calculation rule storage program stored in the “main memory” is executed to store the business type appropriateness index calculation rule. Then, by executing the business form appropriateness index calculation program stored in the “main memory”, Store information of the occupied store space and store information of the occupied store using the business format adequacy index calculation rule based on the passer age gender distribution information, the assumed customer demographic age gender distribution information, and the business format data Calculate the index indicating the appropriateness of the business format indicated by.
  • FIG. 12 is a diagram illustrating a flow of processing when the investigation system according to the present embodiment is used.
  • a video acquisition step (S1201) a gender age estimation step (S1202), a passer information accumulation step (S1203), a passer age / gender distribution information acquisition step (S1204), and an assumed customer group Age and gender distribution information acquisition step (S1205), passer store opening time change calculation step (S1206), age and gender comparison output step (S1207), entering recommended store business type acquiring step (S1208), and entering recommended store business type output
  • This processing method includes a step (S1209) and a business form adequacy index calculation step (S1210).
  • occupancy space identification information is assigned to each occupancy space of a shopping street, and the presence / absence of occupancy of the store, the business type of the store if occupied, and the business hours and occupancy of the store if occupied.
  • Store information that stores the store information including the gender and age of the assumed customer segment of the store, and whether the business format is stored in the store information storage unit,
  • a business type data storage unit that stores business type data that associates the age and gender of the optimal customer group suitable for the business type; acquired passer age gender distribution information; acquired assumed customer group age / gender distribution information;
  • Based on the retained business format data and the business format appropriateness index calculation rule which is a rule for calculating an index indicating the appropriateness of the business format indicated by the store information of the occupied store space, Index performance It is executed by the surveillance system for activation of mall with rule holding unit.
  • the “business type adequacy index calculation step” refers to the occupied store based on the obtained passer age gender distribution information, the obtained expected customer demographic age gender distribution information, and the stored business format data. This is a step of calculating an index indicating the suitability of the business type indicated by the store information of the occupied store using the store information of the space and the stored business type appropriateness index calculation rule.

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Abstract

La présente invention concerne un dispositif pour analyser si chaque espace résident est occupé par un locataire approprié ou non. La présente invention concerne un système d'enquête pour revivifier une rue commerçante, le système d'enquête ayant des fonctions permettant de : acquérir une vidéo de passants entrant et se déplaçant sur un trajet de circulation vers une rue commerçante; accumuler des informations sur les passants par estimation, à partir de la vidéo acquise, du sexe et de l'âge de chaque passant photographié en association avec l'horaire enregistré; retenir, pour chaque espace résident de magasin dans la rue commerçante, des informations sur les magasins comprenant la présence/l'absence d'un magasin résident, une catégorie du magasin lorsque l'espace résident est occupé, les heures d'ouverture du magasin lorsque l'espace résident est occupé, et le sexe et l'âge d'un segment de client supposé du magasin lorsque l'espace résident est occupé; et calculer des changements temporels du nombre de passants et du nombre de magasins actifs à l'aide des informations sur les passants accumulées et des informations sur les magasins retenues.
PCT/JP2018/036264 2018-09-28 2018-09-28 Système d'enquête et procédé d'enquête pour revivifier une rue commerçante WO2020065919A1 (fr)

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