Information processing system, method and computer readable medium for determining whether moving bodies appearing in first and second videos are the same or not using histogram

Patent metadata

Field	Value
Publication number	US-11908293-B2
Application number	US-202217828088-A
Country	US
Kind code	B2
Filing date	May 31, 2022
Priority date	Apr 26, 2013
Publication date	Feb 20, 2024
Grant date	Feb 20, 2024

Abstract

An information processing system is provided. The information processing system comprises at least one processor configured to receive inputs of videos captured by a plurality of imaging apparatuses, detect a first person image appearing in a first video captured by a first imaging apparatus and a second person image appearing in a second video captured by a second imaging apparatus, associate a first person with a second person based on a first feature value of the first person and a second feature value of the second person, and provide an elapsed time from a first time point when the first person disappears from the first video to a second time point when the second person appears in the second video. The first feature value and the second feature value may include information based on histogram.

First claim

The invention claimed is:

1. An information processing system comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to:
receive inputs of videos captured by a plurality of imaging apparatuses;
detect a first person in a first video captured by a first imaging apparatus among the plurality of imaging apparatuses and a second person in a second video captured by a second imaging apparatus among the plurality of imaging apparatuses;
associate the first person with the second person, based on a first feature value of the first person and a second feature value of the second person; and
provide an elapsed time based on first time information corresponding to the first person and second time information corresponding to the second person,
wherein the first feature value and the second feature value include information based on a histogram.

2. The information processing system according to claim 1 , wherein the elapsed time is provided after the first person is associated with the second person, based on the first feature value of the first person and the second feature value of the second person.

3. The information processing system according to claim 1 , wherein the at least one processor is further configured to execute the instructions to control a display device to display an image that includes the second person set as a monitoring target and who is highlighted.

4. The information processing system according to claim 3 , wherein the at least one processor is further configured to execute the instructions to change a manner in which the second person is highlighted in the image, based on the elapsed time and a similarity between the first feature value and the second feature value.

5. The information processing system according to claim 4 , wherein the at least one processor is further configured to execute the instructions to:
compute the similarity,
wherein the elapsed time is provided after the similarity is computed.

6. The information processing system according to claim 4 , wherein the at least one processor is further configured to execute the instructions to:
compute a first probability indicating that the first person and the second person are the same based on the similarity, and a second probability that the first person and the second person are not the same based on the elapsed time,
wherein the manner in which the second person is highlighted in the image is changed, based on a result of comparison between the first probability and the second probability.

7. The information processing system according to claim 1 , wherein the at least one processor is further configured to execute the instructions to provide the elapsed time based on a first time when the first person is in the first video and a second time when the second person is in the second video.

8. An information processing method performed by at least one computer, the method comprising:
receiving inputs of videos captured by a plurality of imaging apparatuses;
detecting a first person in a first video captured by a first imaging apparatus among the plurality of imaging apparatuses and a second person in a second video captured by a second imaging apparatus among the plurality of imaging apparatuses;
associating the first person with the second person, based on a first feature value of the first person and a second feature value of the second person; and
providing an elapsed time based on first time information corresponding to the first person and second time information corresponding to the second person,
wherein the first feature value and the second feature value include information based on a histogram.

9. The information processing method according to claim 8 , wherein the elapsed time is provided after the first person is associated with the second person, based on the first feature value of the first person and the second feature value of the second person.

10. The information processing method according to claim 8 , further comprising:
controlling a display device to display an image that includes the second person who is set as a monitoring target and who is highlighted.

11. The information processing method according to claim 10 , further comprising:
changing a manner in which the second person is highlighted in the image, based on the elapsed time and a similarity between the first feature value and the second feature value.

12. The information processing method according to claim 11 , further comprising:
computing the similarity,
wherein the elapsed time is provided after the similarity is computed.

13. The information processing method according to claim 11 , further comprising
computing a first probability indicating that the first person and the second person are the same based on the similarity, and a second probability that the first person and the second person are not the same based on the elapsed time,
wherein the manner in which the second person is highlighted is changed, based on a result of comparison between the first probability and the second probability.

14. The information processing method according to claim 8 , wherein the elapsed time is provided based on a first time when the first person is in the first video and a second time when the second person is in the second video.

15. A non-transitory computer readable recording medium storing programs executable by at least one computer to perform:
receiving inputs of videos captured by a plurality of imaging apparatuses;
detecting a first person in a first video captured by a first imaging apparatus among the plurality of imaging apparatuses and a second person in a second video captured by a second imaging apparatus among the plurality of imaging apparatuses;
associating the first person with the second person, based on a first feature value of the first person and a second feature value of the second person; and
providing an elapsed time based on first time information corresponding to the first person and second time information corresponding to the second person,
wherein the first feature value and the second feature value include information based on a histogram.

16. The non-transitory computer readable recording medium according to claim 15 , wherein the elapsed time is provided after the first person is associated with the second person, based on the first feature value of the first person and the second feature value of the second person.

17. The non-transitory computer readable recording medium according to claim 15 , wherein the programs are executable by the computer to further perform:
controlling a display device to display an image that includes the second person who is set as a monitoring target being and who is highlighted.

18. The non-transitory computer readable recording medium according to claim 17 , wherein the programs are executable by the computer to further perform:
changing a manner in which the second person is highlighted in the image, based on the elapsed time and a similarity between the first feature value and the second feature value.

19. The non-transitory computer readable recording medium according to claim 18 , wherein the programs are executable by the computer to further perform:
computing the similarity,
wherein the elapsed time is provided after the similarity is computed.

20. The non-transitory computer readable recording medium according to claim 15 , wherein the elapsed time is provided based on a first time when th

Assignees

• Nec Corp

Inventors

• Miyano Hiroyoshi

Classifications

• G08B13/196 Primary

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• G06V20/30

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• G06V20/54

  of traffic, e.g. cars on the road, trains or boats · CPC title

• G08B13/19645

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