JP2020004226A - Estimation system, estimation method, estimation device and computer program - Google Patents

Abstract

To enable the behavior of an owner of a terminal to be grasped with higher accuracy.SOLUTION: An estimation system includes: a behavior information acquisition part for acquiring behavior information including position information representing the position of a terminal device and identification information that can uniquely identify the terminal device; a feature information generation part for generating feature information including a feature amount of a person picked up by an imaging device provided at a prescribed place; and an estimation part for estimating that the owner of the terminal device moves to the prescribed place in the case that the behavior information and the feature information satisfy a predetermined condition.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an estimation system, an estimation method, an estimation device, and a computer program.

  2. Description of the Related Art In recent years, as one of business activities of a company, transmission of advertisement information such as an electronic advertisement to a terminal device such as a smartphone or a tablet computer has been performed. The advertisement information includes, for example, information such as a sale price of a product, introduction of a discount product, or exchange of a prize. The owner of the terminal device visits the store by checking the advertisement information. The store that distributes the advertisement information measures whether or not the owner of the terminal device has actually visited the store based on the position information acquired from the terminal device. The store plans sales activities based on the measured results, such as contents of advertisement information, selection of products to be displayed in the store, or planning of events.

JP 2014-109964 A

  However, the owner of the terminal device cannot be specified in the store. For this reason, there was a problem that it was difficult to grasp what kind of action the owner of the terminal device performed in the store, and it was difficult to plan an effective sales activity.

  In view of the above circumstances, an object of the present invention is to provide a technology that can grasp the behavior of a terminal owner with higher accuracy.

  One embodiment of the present invention provides a behavior information acquisition unit that acquires behavior information including position information indicating a position of a terminal device and identification information that can uniquely identify the terminal device, and an imaging device provided at a predetermined location A feature information generating unit that generates feature information including a feature amount of a person imaged by an owner of the terminal device at the predetermined location when the behavior information and the characteristic information satisfy predetermined conditions. And an estimating unit that generates estimation information for estimating that the object has moved.

  One aspect of the present invention is the estimation system described above, wherein the estimation unit is configured such that the behavior information including position information indicating a position of the predetermined place, and the feature information satisfy a predetermined condition. Then, the estimation information is estimated.

  One embodiment of the present invention is the estimation system described above, wherein the behavior information acquisition unit includes first position information including the same identification information and representing the inside of a predetermined first area, And a plurality of pieces of behavior information including second position information representing the location of the first area and third position information representing the outside of the first area.

  One embodiment of the present invention is the above-described estimation system, wherein the estimation unit generates the estimation information when the acquired pieces of behavior information satisfy a predetermined condition.

  One embodiment of the present invention is the above estimation system, wherein the estimation unit is configured to generate the estimation information, based on identification information included in the behavior information and a feature amount included in the feature information, An advertisement information distribution instruction is transmitted to the terminal device to the advertisement distribution device.

  One aspect of the present invention is a behavior information acquisition step in which the estimation device acquires behavior information including position information indicating a position of the terminal device and identification information capable of uniquely identifying the terminal device; A feature information generating step of generating feature information including a feature amount of a person imaged by the imaging device provided at the location, and when the estimating device determines that the behavior information and the feature information satisfy a predetermined condition. An estimation step of generating estimation information for estimating that the owner of the terminal device has moved to the predetermined place.

  One embodiment of the present invention provides a behavior information acquisition unit that acquires behavior information including position information indicating a position of a terminal device and identification information that can uniquely identify the terminal device, and an imaging device provided at a predetermined location A feature information generating unit that generates feature information including a feature amount of a person imaged by an owner of the terminal device at the predetermined location when the behavior information and the characteristic information satisfy predetermined conditions. And an estimating unit that generates estimation information for estimating that the object has moved.

  One embodiment of the present invention is a computer program for causing a computer to function as the above estimation device.

  According to the present invention, it is possible to grasp the behavior of the terminal owner with higher accuracy.

FIG. 1 is a system configuration diagram illustrating a system configuration of a behavior estimation system according to an embodiment. FIG. 2 is a functional block diagram illustrating a functional configuration of the terminal device according to the embodiment. It is a functional block diagram showing the functional composition of the action information acquisition device of an embodiment. It is a functional block diagram showing the functional composition of the estimation device of an embodiment. It is a figure showing a specific example of action information of an embodiment. FIG. 3 is a diagram illustrating a specific example of feature information according to the embodiment. FIG. 4 is a diagram illustrating a specific example of a positional relationship between a first position and a third position according to the embodiment. FIG. 5 is a diagram illustrating a specific example of specifying feature information by an estimation unit according to the embodiment. 9 is a flowchart illustrating a specific example of a flow of an estimation process according to the embodiment.

  FIG. 1 is a system configuration diagram illustrating a system configuration of a behavior estimation system 1 according to the embodiment. The behavior estimation system 1 is provided in the network 500. The behavior estimation system 1 includes a plurality of terminal devices 100, a behavior information acquisition device 200, an estimation device 300, and an advertisement distribution device 400 that are communicably connected to each other via a network 500. The behavior estimation system 1 estimates whether or not the owner of the terminal device 100 has visited a place designated in advance. The network 500 may be constructed with any network. For example, the network 500 may be configured by the Internet.

  The terminal device 100 is an information processing device such as a smartphone, a tablet computer, an IC (Integrated Circuit) card, or an RFID (Radio Frequency Identifier). The terminal device 100 generates the behavior information at a predetermined timing. The terminal device 100 transmits the generated behavior information to the behavior information acquisition device 200.

  The behavior information acquisition device 200 is an information processing device such as a personal computer or a server. The behavior information acquisition device 200 acquires behavior information from each terminal device 100. The behavior information will be described later. The behavior information acquisition device 200 transmits the behavior information acquired from each terminal device 100 to the estimation device 300.

  The estimation device 300 is an information processing device such as a personal computer or a server. The estimating device 300 estimates whether or not the owner of the terminal device 100 has visited a place designated in advance.

  The advertisement distribution device 400 is an information processing device such as a personal computer or a server. The advertisement distribution device 400 stores advertisement information distributed to each terminal device 100. The advertisement information includes, for example, information such as a sale price of a product, introduction of a discount product, or exchange of a prize. The advertisement information may be an image for sales promotion of a product or a moving image. The advertisement information may be any information as long as it can be displayed on the terminal device 100. The advertisement distribution device 400 distributes the advertisement information to the terminal device 100, other digital signage, a display in a store, or the like at a predetermined timing. The content displayed on the display in the store is not limited to the advertisement information, and may be a result of estimating the attribute of the visitor. The attribute of the visitor is, for example, information on the visitor such as gender, age, or frequency of visits. The predetermined timing may be, for example, a predetermined date and time, or may be a timing instructed by the behavior information acquisition device 200 or the estimation device 300. The advertisement distribution device 400 may determine in advance what kind of advertisement to distribute for each terminal device 100. Therefore, the distributor of the advertisement information can grasp what advertisement is distributed to the terminal device 100 for each terminal device 100.

  FIG. 2 is a functional block diagram illustrating a functional configuration of the terminal device 100 according to the embodiment. The terminal device 100 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected by a bus, and executes a behavior information generation program to execute a behavior information generation program, thereby storing a communication unit 101, an input unit 102, a display unit 103, and an advertisement identifier storage. It functions as a device including the unit 104 and the control unit 105. Note that all or a part of each function of the communication unit 101, the input unit 102, the display unit 103, the advertisement identifier storage unit 104, and the control unit 105 includes an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA ( It may be realized using hardware such as a Field Programmable Gate Array). The behavior information generation program may be recorded on a computer-readable recording medium. The computer-readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM, and a storage device such as a hard disk built in a computer system. The behavior information generation program may be transmitted via a telecommunication line.

  The communication unit 101 is a network interface. The communication unit 101 communicates with the behavior information acquisition device 200 and the advertisement distribution device 400 via the network 500. The communication unit 101 may perform communication using a communication method such as a wireless LAN (Local Area Network), a wired LAN, LTE (Long Term Evolution) (registered trademark), or 5G.

  The input unit 102 is configured using input devices such as a touch panel, a mouse, and a keyboard. The input unit 102 may be an interface for connecting the input device to the terminal device 100. In this case, the input unit 102 generates input data (for example, instruction information indicating an instruction to the terminal device 100) from an input signal input at the input device, and inputs the generated data to the terminal device 100.

  The display unit 103 is an output device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, and an organic EL (Electro Luminescence) display. The display unit 103 may be an interface for connecting the output device to the terminal device 100. In this case, the display unit 103 generates a video signal from the video data and outputs the video signal to a video output device connected thereto.

  The advertisement identifier storage unit 104 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The advertisement identifier storage unit 104 stores an advertisement identifier. The advertisement identifier is information that can uniquely identify the terminal device 100. The advertisement identifier is used for advertisement distribution to the terminal device 100. The advertising identifier may be, for example, an IDFA (Advertising Identifier) or an AdID (Advertising ID), but is not limited thereto. The advertisement identifier may be any information, such as a cookie, a telephone number, or address information on a network, as long as the information does not overlap with an advertisement identifier stored in another terminal device 100.

  The control unit 105 controls the operation of each unit of the terminal device 100. The control unit 105 is executed by, for example, a device including a processor such as a CPU and a RAM (Random Access Memory). The control unit 105 functions as the position information acquisition unit 106, the behavior information generation unit 107, and the transmission unit 108 by executing the behavior information generation program.

  The position information acquisition unit 106 acquires position information. The position information acquisition unit 106 may acquire the position information by a satellite positioning system such as a GPS (Global Positioning System), for example. The position information is information indicating the position of the terminal device 100. The position information may be, for example, latitude and longitude information. The position information may include, for example, information on altitude or speed in addition to information on longitude and latitude. The location information may be corrected using the speed information or the acceleration information of the terminal device 100 in a place where radio waves from the satellite positioning system are difficult to reach (for example, in a mountain area or a tunnel). The position information acquisition unit 106 may acquire the position information at a predetermined timing. The predetermined timing may be, for example, a predetermined time interval such as every one minute, every two minutes, or the timing of receiving a beacon signal. The predetermined timing may be any timing.

  The behavior information generation unit 107 generates behavior information. The action information is information indicating the position of the terminal device 100 at a predetermined time. FIG. 5 is a diagram illustrating a specific example of the behavior information according to the embodiment. According to FIG. 5, the behavior information includes three pieces of information: advertisement information, position information, and time information. The advertisement information is generated by performing a hash process on the advertisement identifier. The behavior information generation unit 107 generates advertisement information by performing hash processing. The advertisement information is information that can uniquely identify the terminal device 100. Advertising information is one form of identification information. The position information indicates the position of the terminal device 100 acquired by the position information acquisition unit 106. The time information indicates the time at which the terminal device 100 is at the position represented by the position information. The time information included in the action information is an aspect of the first time information. The behavior information generation unit 107 generates behavior information including the acquired position information at the timing when the position information is acquired. The behavior information generation unit 107 outputs the generated behavior information to the transmission unit 108. The transmitting unit 108 transmits the behavior information to the behavior information acquisition device 200.

  FIG. 3 is a functional block diagram illustrating a functional configuration of the behavior information acquisition device 200 according to the embodiment. The behavior information acquisition device 200 includes a CPU, a memory, an auxiliary storage device, and the like connected by a bus, and functions as a device including a communication unit 201, a behavior information storage unit 202, and a control unit 203 by executing a behavior information acquisition program. I do. All or some of the functions of the communication unit 201, the behavior information storage unit 202, and the control unit 203 may be realized using hardware such as an ASIC, a PLD, and an FPGA. The behavior information acquisition program may be recorded on a computer-readable recording medium. The behavior information acquisition program may be transmitted via a telecommunication line.

  The communication unit 201 is a network interface. The communication unit 201 communicates with the terminal device 100, the estimation device 300, and the advertisement distribution device 400 via the network 500. The communication unit 201 may communicate using a communication method such as a wireless LAN, a wired LAN, LTE, or 5G.

  The behavior information storage unit 202 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The behavior information storage unit 202 stores behavior information. The behavior information recorded in the behavior information storage unit 202 is obtained from the plurality of terminal devices 100.

  The control unit 203 controls the operation of each unit of the behavior information acquisition device 200. The control unit 203 is executed by a device including a processor such as a CPU and a RAM, for example. The control unit 203 functions as the behavior information acquisition unit 204 and the transmission unit 205 by executing the behavior information acquisition program.

  The behavior information acquisition unit 204 acquires the behavior information transmitted by the terminal device 100. The behavior information acquisition unit 204 records the acquired behavior information in the behavior information storage unit 202. The transmission unit 205 transmits the behavior information recorded in the behavior information storage unit 202 to the estimation device 300 at a predetermined timing. The predetermined timing may be every week, may be a predetermined time every day, or may be any timing.

  FIG. 4 is a functional block diagram illustrating a functional configuration of the estimation device 300 according to the embodiment. The estimation device 300 includes a CPU, a memory, an auxiliary storage device, and the like connected by a bus, and executes an estimation program to execute a communication unit 301, a feature information storage unit 302, a behavior information storage unit 303, an estimation information storage unit 304, And a device including the control unit 305. Note that all or a part of each function of the communication unit 301, the feature information storage unit 302, the behavior information storage unit 303, the estimation information storage unit 304, and the control unit 305 uses hardware such as an ASIC, a PLD, and an FPGA. It may be realized. The behavior information acquisition program may be recorded on a computer-readable recording medium. The behavior information acquisition program may be transmitted via a telecommunication line.

  The communication unit 301 is a network interface. The communication unit 301 communicates with the behavior information acquisition device 200 via the network 500. The communication unit 301 may communicate using a communication method such as a wireless LAN, a wired LAN, LTE, or 5G.

The characteristic information storage unit 302 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The characteristic information storage unit 302 stores characteristic information. The characteristic information is information indicating characteristics of a person included in a captured image. The captured image will be described later. FIG. 6 is a diagram illustrating a specific example of the feature information according to the embodiment. According to FIG. 6, the feature information includes three pieces of information: a feature identifier, a feature amount, and time information. The feature identifier is an identifier provided in association with the feature amount. The feature identifier may be any information as long as it is a character string including numbers and alphabets. The feature identifier is determined according to the value of the feature amount. That is, when the values of the feature amounts are the same, the same value is given to the feature identifier. The feature amount represents a feature of a person included in the captured image. The feature amount is information that can specify a person included in the image.
The time information indicates the time at which the image was captured.

  The behavior information storage unit 303 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The behavior information storage unit 303 stores the behavior information acquired from the behavior information acquisition device 200.

  The estimation information storage unit 304 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The estimation information storage unit 304 stores the estimation information. The estimation information is information indicating whether or not a person included in the captured image has visited a place designated in advance.

  The control unit 305 controls the operation of each unit of the estimation device 300. The control unit 305 is executed by a device including a processor such as a CPU and a RAM, for example. The control unit 305 functions as the imaging information acquisition unit 306, the feature information generation unit 307, the behavior information acquisition unit 308, and the estimation unit 309 by executing the estimation program.

  The imaging information acquisition unit 306 acquires imaging information representing an image captured by the imaging device. The imaging information acquisition unit 306 outputs the acquired imaging information to the feature information generation unit 307. The imaging device may be, for example, a camera capable of capturing a moving image, such as a monitoring camera, or a camera capable of capturing a still image, such as a digital camera. The imaging device may be, for example, a device (for example, a night-vision camera or a TOF (Time Of Flight) sensor) capable of acquiring information of a wavelength other than visible light or distance information from the imaging device to a subject. Further, the number of imaging devices is not limited to one, and may be configured by a plurality of imaging devices. The imaging information is information including a captured image and a captured time. Whether the image included in the imaging information is a moving image or a still image differs depending on the imaging device. The time information included in the imaging information is an aspect of the second time information.

  The characteristic information generation unit 307 generates characteristic information based on an image included in the imaging information. Specifically, the feature information generation unit 307 specifies an image in which a person is included among the images included in the imaging information. The feature information generation unit 307 acquires the feature amount of the person appearing in the specified image. The feature amount may be any feature as long as the information can identify a person. Note that the feature information generation unit 307 acquires similar feature amounts even if the images are different but the persons who have moved to the images are the same person. A publicly-known method may be used to obtain the feature amount. The feature information generation unit 307 generates a feature identifier based on the feature amount. The feature information generation unit 307 may use any method to generate the feature identifier. For example, the feature information generation unit 307 may assign numbers in ascending order in the order in which the feature identifiers are generated, or may perform hash processing on the feature amounts. If the acquired feature amount is the same as the previously acquired feature amount, the feature information generation unit 307 assigns a feature identifier assigned in the past. The feature information generation unit 307 generates feature information by associating the time information included in the imaging information, the acquired feature amount, and the assigned feature identifier. The feature information generation unit 307 records the generated feature information in the feature information storage unit 302.

  The behavior information acquisition unit 308 acquires the behavior information transmitted by the behavior information acquisition device 200. The behavior information acquisition unit 308 records the acquired behavior information in the behavior information storage unit 303.

  The estimating unit 309 estimates whether or not the owner of the terminal device 100 has visited a location designated in advance based on the feature information and the behavior information. Specifically, the estimating unit 309 acquires three pieces of behavior information satisfying a plurality of conditions from the behavior information storage unit 303. A plurality of conditions will be described. The plurality of conditions include at least the following three conditions. The first condition is that the three pieces of action information have a first position, a second position, or a third position as the value of the position information. The first position, the second position, or the third position is a predetermined position. The positional relationship between the first position, the second position, and the third position will be described later. The second condition is that the values of the advertisement information included in the acquired behavior information match between the behavior information. The third condition is that the time information of the action information having the first position is a time earlier than the time information of the action information having the second position, and the time information of the action information having the second position Is a time earlier than the time information of the action information having the third position. The estimating unit 309 acquires three pieces of behavior information that satisfy the above-described plurality of conditions. Note that, when the behavior information that satisfies the above-described plurality of conditions cannot be obtained, the estimation unit 309 generates estimation information indicating a result of estimating that the owner of the terminal device 100 did not visit the predetermined location. Is also good.

  Next, the estimating unit 309 acquires feature information satisfying a predetermined condition from the feature information storage unit 302. The predetermined condition is that the time information of the feature information recorded in the feature information storage unit 302 and the time information of the behavior information having the second position in the acquired behavior information are within a predetermined range. It is included in. The estimating unit 309 acquires from the feature information storage unit 302 the feature information whose time information matches. Note that the estimating unit 309 may generate estimation information indicating a result of estimating that the owner of the terminal device 100 has not visited the location specified in advance when the feature information satisfying the predetermined condition has not been acquired. .

  Next, the estimating unit 309 generates estimation information indicating a result of estimating that the owner of the terminal device 100 has visited a predetermined location based on the acquired behavior information and characteristic information. For example, the estimation unit 309 may generate estimation information including advertisement information and three pieces of time information included in three pieces of behavior information, and a feature identifier and a feature amount included in feature information. The estimation unit 309 records the generated estimation information in the estimation information storage unit 304.

  FIG. 7 is a diagram illustrating a specific example of the positional relationship between the first position and the third position according to the embodiment. FIG. 7 has a circle 10, a square 20 and an area 30. Circle 10 represents the first position. Square 20 represents the second position. Region 30 represents a third position. The person 11, the person 11a, and the person 11b have the terminal device 100. It is assumed that the person 11, the person 11a, and the person 11b are the same person.

  The first position is a region inside the circle 10 and outside the square 20. The person 11 is inside the circle 10 and outside the square 20. For this reason, the terminal device 100 of the person 11 transmits the behavior information having the first position P1 as the position information to the behavior information acquisition device 200.

  The second position is a region inside the square 20. The person 11a is inside the square 20. Therefore, the terminal device 100 of the person 11a transmits the behavior information having the second position P2 as the position information to the behavior information acquisition device 200. Note that an imaging device 21 is provided inside the square 20. The imaging device 21 captures an image of a person inside the square 20. The imaging device 21 generates imaging information in which the captured image is associated with the time at which the image was captured. The imaging device 21 transmits imaging information to the estimation device 300 via the network 500. The square 20 is, for example, a site of a store that is a distributor of the advertisement information.

  The third position is an area outside the circle 10. The person 11b is outside the circle 10. Therefore, the terminal device 100 of the person 11b transmits the behavior information having the third position P3 as the position information to the behavior information acquisition device 200. The range of the area 30 may be determined as long as the area is outside the circle 10.

  As shown in FIG. 7, as a positional relationship between the first to third positions, the second position may be provided inside the first position, and the third position may be provided outside the first position. Understand. Note that the shape of the first position and the second position is not limited to a circle or a square, and may be any shape. The distance from the end of the second position to the end of the first position may be any distance as long as the distance is specified in advance.

  FIG. 8 is a diagram illustrating a specific example of specifying feature information by the estimation unit 309 according to the embodiment. FIG. 8A shows three pieces of behavior information that have been acquired by the estimation unit 309 and that satisfy a plurality of conditions. First, since the position information included in the behavior information is P1 representing the first position, P2 representing the second position, and P3 representing the third position, the first condition is satisfied. Also, the advertisement information included in each action information matches “ad001”, and thus satisfies the second condition. Further, the time information of the action information having the first position P1 is a time earlier than the time information of the action information having the second position, and the time information of the action information having the second position P2 is Since the time is earlier than the time information of the action information having the third position P3, the third condition is satisfied. Therefore, FIG. 8A shows that the behavior information acquired by the estimation unit 309 satisfies a plurality of conditions.

  FIG. 8B is a diagram in which among the pieces of feature information stored in the feature information storage unit 302, feature information that satisfies the above-described predetermined condition is displayed in a different color. According to FIG. 8B, the time information “2018/6/18 12:15:32” included in the feature information displayed with the color changed indicates that the second position P2 of the acquired behavior information is Since the time information coincides with the time information of the action information, it is understood that the predetermined condition is satisfied. According to FIG. 8, the estimating unit 309 determines the three pieces of behavior information shown in FIG. 8A, the feature information displayed by changing the color among the feature information shown in FIG. Generate estimated information based on

  FIG. 9 is a flowchart illustrating a specific example of the flow of the estimation process according to the embodiment. The estimating unit 309 determines any advertisement information from the advertisement information included in the behavior information recorded in the behavior information storage unit 303 (Step S101). The terminal device 100 having the determined advertisement information is a target for generating estimation information. Estimation information is generated for the determined advertisement information. The advertisement information may be determined at random, may receive an instruction from the outside, or may be determined in any way. The estimating unit 309 specifies the behavior information having the predetermined position information from the behavior information having the determined advertisement information (Step S102). The predetermined position information is position information having any one of a predetermined first position, a second position, and a third position. The estimating unit 309 obtains three pieces of behavior information in which the time information included in the specified behavior information satisfies a predetermined relationship (step S103). The predetermined relationship is that the time information of the action information having the first position is a time earlier than the time information of the action information having the second position, and the time information of the action information having the second position. Is a time earlier than the time information of the action information having the third position.

  The estimating unit 309 determines that the time information of the behavior information having the second position as the position information matches the time information of the characteristic information recorded in the characteristic information storage unit 302 among the acquired three pieces of behavior information. The characteristic information to be acquired is obtained (step S104). The estimating unit 309 generates estimated information based on the acquired behavior information and characteristic information (Step S105). The estimation unit 309 records the generated estimation information in the estimation information storage unit 304 (Step S106).

  In the behavior estimation system 1 configured as described above, the estimation unit 309 of the estimation device 300 uses the behavior information acquired from the terminal device 100 and the image captured by the imaging device provided at a predetermined place such as a store. Based on the generated feature information, it is estimated whether or not the owner of the terminal device 100 has visited a predetermined place. With this configuration, it is possible to grasp the behavior of the terminal owner with higher accuracy.

  The estimating unit 309 may be configured to calculate the stay time at which the owner of the terminal device 100 is at the second position. The estimating unit 309 calculates the stay time at the second position, for example, by subtracting the time information of the behavior information having the second position from the time information of the behavior information having the third position. With this configuration, it is possible to measure the stay time of the owner of the terminal device 100 that has visited.

  The estimating unit 309 may be provided with a fourth condition when acquiring behavior information that satisfies a plurality of conditions. For example, as the fourth condition, the difference between the time information of the behavior information having the first position and the behavior information having the second position is equal to or less than the first threshold value, or the behavior having the second position is The difference between the time information of the information and the time information of the behavior information having the third position is equal to or less than the second threshold value, or the time information of the behavior information having the first position and the behavior having the third position The difference from the information satisfies at least one of the following conditions: the third threshold value or less. With this configuration, it is possible to exclude a case where the owner of the terminal device 100 is considered to be obviously long as the stay time at the second position.

  The behavior information acquisition unit 204 of the behavior information acquisition device 200 is configured to transmit an advertisement information distribution instruction to the advertisement distribution device 400 when the position information of the acquired behavior information is the second position. You may. The advertisement information to be distributed may be determined based on the location information. For example, when the owner of the terminal device 100 visits a convenience store, advertisement information that can be used in the convenience store is transmitted. With this configuration, advertisement information can be delivered to the owner of the terminal device 100 in a timely manner. Therefore, it is possible to further increase the business efficiency.

  The advertisement distribution device 400 may distribute the advertisement information according to the instruction received from the estimation device 300. In this case, the estimation unit 309 transmits an advertisement distribution instruction to the advertisement distribution device 400 based on the estimation information recorded in the estimation information storage unit 304. The advertisement distribution instruction includes advertisement information and characteristic information. The advertisement distribution device 400 may determine an advertisement to be distributed based on the feature information. For example, when the feature information represents a male in his 20s, the advertisement distribution device 400 distributes advertisement information suitable for a male in his 20s. With this configuration, advertisement information more suitable for the owner of the terminal device 100 can be delivered, and the business efficiency can be further improved.

  The estimating unit 309 in the above-described embodiment acquires feature information in which the time information of the behavior information having the second position as the position information matches the time information of the feature information recorded in the feature information storage unit 302. , But is not limited to matching. For example, the estimation unit 309 determines that the difference between the time information of the behavior information having the second position as the position information and the time information of the feature information recorded in the feature information storage unit 302 is within a predetermined range (for example, 0. 5 seconds or the like). With such a configuration, a time difference between the behavior information acquisition device 200 and the estimation device 300 can be absorbed, and the accuracy can be further improved.

  In the present embodiment, the behavior information acquisition device 200 is described as a single device, but may be configured as a plurality of devices. Although the estimation device 300 has been described as a single device, the estimation device 300 may be configured as a plurality of devices. The behavior estimation system 1 has been described as including the behavior information acquisition device 200 and the estimation device 300, but these may be configured as one device. The behavior information acquisition device 200 and the estimation device 300 may be configured by a cloud computing system.

  The behavior information acquisition device 200 and the estimation device 300 in the above-described embodiment may be realized by a computer. In that case, a program for realizing this function may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read and executed by a computer system. Here, the “computer system” includes an OS and hardware such as peripheral devices. A "computer-readable recording medium" is a medium that dynamically stores a program for a short time, such as a communication line for transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a program holding a program for a certain period of time, such as a volatile memory in a computer system serving as a server or a client, may be included. The program may be for realizing a part of the functions described above, or may be a program that can realize the functions described above in combination with a program already recorded in a computer system, It may be realized using a programmable logic device such as an FPGA.

  As described above, the embodiments of the present invention have been described in detail with reference to the drawings. However, the specific configuration is not limited to the embodiments, and includes a design and the like within a range not departing from the gist of the present invention.

  The present invention is applicable to a store-type business model in which a customer visits a store.

DESCRIPTION OF SYMBOLS 1 ... Behavior estimation system, 100 ... Terminal device, 101 ... Communication part, 102 ... Input part, 103 ... Display part, 104 ... Advertising identifier storage part, 105 ... Control part, 106 ... Location information acquisition part, 107 ... Behavior information generation Unit, 108: Transmission unit, 200: Behavior information acquisition device, 201: Communication unit, 202: Behavior information storage unit, 203: Control unit, 204: Behavior information acquisition unit, 205: Transmission unit, 300: Estimation device, 301 ... Communication unit, 302: feature information storage unit, 303, action information storage unit, 304, estimation information storage unit, 305, control unit, 306, imaging information acquisition unit, 307, feature information generation unit, 308, action information acquisition unit, 309: estimation unit, 400: advertisement distribution device, 500: network

Claims (8)

Behavior information acquisition unit that acquires behavior information including position information representing the position of the terminal device and identification information capable of uniquely identifying the terminal device,
A feature information generation unit that generates feature information including a feature amount of a person imaged by an imaging device provided at a predetermined place,
An estimating unit that generates estimation information that estimates that the owner of the terminal device has moved to the predetermined location when the behavior information and the feature information satisfy a predetermined condition,
An estimation system comprising: The estimating unit, the behavior information including position information indicating the position of the predetermined place, and the feature information, when a predetermined condition is satisfied, estimates the estimation information,
The estimation system according to claim 1. The behavior information acquisition unit includes first position information that includes the same identification information and indicates the inside of a predetermined first area, second position information that indicates the predetermined place, and the first position information. And acquiring a plurality of pieces of behavior information so as to include third position information representing the outside of the area.
The estimation system according to claim 1. The estimating unit, when the obtained plurality of behavior information satisfies a predetermined condition, generates the estimation information,
The estimation system according to claim 3. When the estimation information is generated, the estimating unit sends a distribution instruction of the advertisement information to the terminal device based on the identification information included in the action information and the feature amount included in the feature information. Send to
The estimation system according to claim 1. Estimation device, behavior information acquisition step of acquiring behavior information including position information representing the position of the terminal device and identification information capable of uniquely identifying the terminal device,
A feature information generating step of the estimating device generating feature information including a feature amount of a person imaged by the imaging device provided at a predetermined place;
An estimating device that, when the behavior information and the feature information satisfy a predetermined condition, generates estimation information for estimating that the owner of the terminal device has moved to the predetermined location;
An estimation method comprising: Behavior information acquisition unit that acquires behavior information including position information representing the position of the terminal device and identification information capable of uniquely identifying the terminal device,
A feature information generation unit that generates feature information including a feature amount of a person imaged by an imaging device provided at a predetermined place,
An estimating unit that generates estimation information that estimates that the owner of the terminal device has moved to the predetermined location when the behavior information and the feature information satisfy a predetermined condition,
An estimation device comprising:   A computer program for causing a computer to function as the estimation system according to claim 1.

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