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JP-7856838-B1 - Information processing device and information processing method

JP7856838B1JP 7856838 B1JP7856838 B1JP 7856838B1JP-7856838-B1

Abstract

[Problem] To reduce the workload when analyzing the interest of a person captured by an imaging device. [Solution] The information processing device 1 includes: an identification unit 131 that identifies a degree of correlation indicating the strength of the relationship between the increase or decrease in the number of people appearing in a first image captured by a first imaging device 2A and the increase or decrease in the number of people appearing in a second image captured by a second imaging device 2B that captures a second imaging area within a predetermined range from the first imaging area which is the imaging area of the first image; a setting unit 132 that sets a first attribute trend, which is the tendency of the attributes of people appearing in the first image, and a second attribute trend, which is the tendency of the attributes of people appearing in the second image; and an estimation unit 133 that estimates the attributes of a plurality of people appearing in the first image or the second image based on the degree of correlation identified by the identification unit 131 and the first and second attribute trends set by the setting unit 132. [Selection Diagram] Figure 2

Inventors

  • 石井 恭平
  • 粟飯原 元
  • 辻 恭平

Assignees

  • ＫＤＤＩ株式会社

Dates

Publication Date
20260511
Application Date
20250930

Claims (10)

  1. A specific unit for identifying a degree of correlation that indicates the strength of the relationship between the increase or decrease in the number of people appearing in a first image captured by a first imaging device and the increase or decrease in the number of people appearing in a second image captured by a second imaging device that captures a second imaging area within a predetermined range from the first imaging area, which is the imaging area of the first image, wherein the specific unit identifies the degree of correlation based on the distance from the first imaging area to the second imaging area, or the time it takes for people to move from the first imaging area to the second imaging area, and the similarity between the increase or decrease in the number of people appearing in a plurality of first images captured in a first time period and the increase or decrease in the number of people appearing in a plurality of second images captured in a second time period . A setting unit sets a first attribute probability, which is the probability that a person appearing in the first captured image has a first attribute corresponding to one or more facilities in the first imaging area or the surrounding area, as the first attribute trend, which is the tendency of the attributes of the person appearing in the first captured image, and a second attribute probability, which is the probability that a person appearing in the second captured image has a second attribute corresponding to one or more facilities in the second imaging area or the surrounding area, as the second attribute trend, which is the tendency of the attributes of the person appearing in the second captured image. An estimation unit estimates the probability that a person possessing the first attribute and the second attribute is included among a plurality of people captured in the first or second captured image by multiplying the degree of relevance identified by the identification unit by the first attribute probability as a first attribute tendency and the second attribute probability as a second attribute tendency set by the setting unit. An information processing device having
  2. The identifying unit determines the degree of association based on the similarity between the increase or decrease in the number of people appearing in the first captured image and the increase or decrease in the number of people appearing in the second captured image. The information processing apparatus according to claim 1.
  3. The identifying unit determines the degree of association based on the similarity between the increase or decrease in the number of people appearing in a plurality of first captured images taken during the first time period and the increase or decrease in the number of people appearing in a plurality of second captured images taken during the second time period, which is a time period predetermined to be later than the first time period. The information processing apparatus according to claim 1 .
  4. The predetermined time is determined based on the distance from the first imaging area to the second imaging area, or the time it takes for a person to move from the first imaging area to the second imaging area. The information processing apparatus according to claim 3 .
  5. The identifying unit further determines the degree of relevance based on the arrangement of pathways for people to walk around the first imaging area and the second imaging area. The information processing apparatus according to claim 1.
  6. The identifying unit determines the degree of relevance based on the positional relationship between the first imaging area and the second imaging area, and at least one of the orientation of the person and the imaging position of the person in the first or second imaging image. The information processing apparatus according to claim 1.
  7. The identifying unit identifies the degree of relevance for each possible state of at least one of the elements of weather and temperature, time of day, date and time, and date category in an area including at least one of the first imaging area and the second imaging area. The estimation unit estimates the probability that a person having the first and second attributes is included in the first or second image, based on the correlation between the weather, temperature, and time of day of an area including at least one of the first and second imaging areas, for each possible state of the area. The information processing apparatus according to claim 1.
  8. The setting unit sets attribute tendencies of people appearing in the captured image corresponding to the imaging area, based on attributes corresponding to the imaging area which is the area captured by the first imaging device or the second imaging device, or to one or more facilities in the vicinity of the imaging area. The information processing apparatus according to claim 1.
  9. The setting unit sets the attribute tendencies of people appearing in the captured images corresponding to the imaging area, for each weather and temperature, time of day, and date category in the imaging area which is the area captured by the first imaging device or the second imaging device. The information processing apparatus according to claim 1.
  10. A computer executes A step of identifying a degree of correlation indicating the strength of the relationship between the increase or decrease in the number of people appearing in a first image captured by a first imaging device and the increase or decrease in the number of people appearing in a second image captured by a second imaging device that captures a second imaging area within a predetermined range from the first imaging area, which is the imaging area of the first image, wherein the degree of correlation is identified based on the distance from the first imaging area to the second imaging area, or the time it takes for people to move from the first imaging area to the second imaging area, and the similarity between the increase or decrease in the number of people appearing in a plurality of first images captured in a first time period and the increase or decrease in the number of people appearing in a plurality of second images captured in a second time period . The steps include setting a first attribute probability, which is the probability that a person appearing in the first captured image has a first attribute corresponding to one or more facilities in the first imaging area or the surrounding area, as the first attribute trend, which is the tendency of the attributes of the people appearing in the first captured image, and setting a second attribute probability, which is the probability that a person appearing in the second captured image has a second attribute corresponding to one or more facilities in the second imaging area or the surrounding area, as the second attribute trend, which is the tendency of the attributes of the people appearing in the second captured image, The steps include: estimating the probability that a person possessing the first attribute and the second attribute is included among the multiple persons captured in the first or second captured image by multiplying the identified correlation by the first attribute probability as the set first attribute tendency and the second attribute probability as the second attribute tendency; An information processing method having

Description

This invention relates to an information processing device and an information processing method. Conventionally, the movement paths of people captured by imaging devices have been analyzed. For example, Patent Document 1 discloses a method for creating movement paths by creating a rectangle encompassing objects representing people in an image captured from a predetermined area, and then connecting the center points of that rectangle. Japanese Patent Publication No. 2011-243155 This is a diagram illustrating the overview of an information processing device.This diagram shows the functional configuration of an information processing device.This figure shows an example of the analysis results screen.This is a flowchart showing the processing flow in an information processing device. [Overview of Information Processing Device 1] Figure 1 shows an overview of the information processing device 1. The information processing device 1 is a computer that estimates the attributes of multiple people appearing in the captured image taken by the imaging device 2. As shown in Figure 1, the information processing device 1 is communicated to the imaging device 2. Multiple imaging devices 2 are provided, and each captures an imaging area, which is an area for analyzing the attributes of people. In this embodiment, an example is described in which multiple imaging devices 2 are provided, including a first imaging device 2A that captures a first imaging area and a second imaging device 2B that captures a second imaging area within a predetermined range from the first imaging area. In the following description, when the first imaging device 2A and the second imaging device 2B are not distinguished, they will simply be referred to as imaging device 2. The information processing device 1, in order to estimate the attributes of multiple people appearing in the captured image, acquires multiple first captured images captured by the first imaging device 2A and multiple second captured images captured by the second imaging device 2B (Figure 1, (1)). The information processing device 1 identifies a correlation index (2) indicating the strength of the relationship between the increase or decrease in the number of people appearing in multiple first imaging images captured from the first imaging area and the increase or decrease in the number of people appearing in multiple second imaging images captured from the second imaging area. For example, in the example shown in Figure 1, it is assumed that there is a strong correlation between the increase or decrease in the number of people appearing in multiple first imaging images captured from the first imaging area and the increase or decrease in the number of people appearing in multiple second imaging images captured from the second imaging area, and the correlation index is identified as 0.8. The information processing device 1 sets a first attribute trend, which is the tendency of the attributes of people appearing in the first captured image, and a second attribute trend, which is the tendency of the attributes of people appearing in the second captured image (Figure 1, (3)). For example, in the example shown in Figure 1, the first attribute trend is set so that 90% of the people appearing in the first captured image are employees of Company A, which is shown in black in Figure 1, and the second attribute trend is set so that 70% of the people appearing in the second captured image are customers of Restaurant B. The information processing device 1 estimates the attributes of multiple individuals appearing in the first or second captured image based on the identified relevance and the set first and second attribute tendencies (Figure 1, (4)). For example, in the example shown in Figure 1, the information processing device 1 multiplies the identified relevance score of 0.8 by the probability (90%) that it includes employees of Company A (set as the first attribute tendency) and the probability (70%) that it includes customers of restaurant B (set as the second attribute tendency). Based on this, it estimates that approximately 50% of the people in the second captured image are employees of Company A who use restaurant B. In this way, by estimating a person's attributes based on the identified relevance and the first and second attribute tendencies, the workload for analyzing a person's interests in an image can be reduced compared to generating movement patterns of people in captured images and analyzing their interests in the image. [Functional configuration of the information processing device 1] Next, the functions of the information processing device 1 will be explained. Figure 2 is a diagram showing the functional configuration of the information processing device 1. The information processing device 1 includes a communication unit 11, a storage unit 12, and a control unit 13. The communication unit 11 is a communication interface for sending and receiving data with external devices