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

US2022292942A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022292942-A1
Application numberUS-202217828088-A
CountryUS
Kind codeA1
Filing dateMay 31, 2022
Priority dateApr 26, 2013
Publication dateSep 15, 2022
Grant date

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  1. Title

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  5. First independent claim

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Abstract

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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

Opening claim text (preview).

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 a first time information corresponding to the first person and a second time information corresponding to the second person, wherein the first feature value and the second feature value include information based on 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 who is set as a monitoring target being highlighted, wherein a person appears in at least one of the first video and the second video, and is associated with a person appearing in another video. 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 to highlight the second person included 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 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 to highlight the second person included in the image is changed, based on a result of comparison between the first probability and the second probability. 7 . 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 a first time information corresponding to the first person and a second time information corresponding to the second person, wherein the first feature value and the second feature value include information based on histogram. 8 . The information processing method according to claim 7 , 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. 9 . The information processing method according to claim 7 , further comprising: controlling a display device to display an image that includes the second person who is set as a monitoring target being highlighted, wherein a person appears in at least one of the first video and the second video, and is associated with a person appearing in another video. 10 . The information processing method according to claim 9 , further comprising: changing a manner to highlight the second person included in the image, based on the elapsed time and a similarity between the first feature value and the second feature value. 11 . The information processing method according to claim 10 , further comprising: computing the similarity, wherein the elapsed time is provided after the similarity is computed. 12 . The information processing method according to claim 10 , further comprising computing a first probability indicating that the first person and the second person are 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 to highlight the second person included in the image is changed, based on a result of comparison between the first probability and the second probability. 13 . A non-transitory computer readable recording medium storing programs, the programs causing 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 a first time information corresponding to the first person and a second time information corresponding to the second person, wherein the first feature value and the second feature value include information based on histogram. 14 . The non-transitory computer readable recording medium according to claim 13 , 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. 15 . The non-transitory computer readable recording medium according to claim 13 , wherein the programs further cause the computer to perform: controlling a display device to display an image that includes the second person who is set as a monitoring target being highlighted, wherein a person appears in at least one of the first video and the second video, and is associated with a person appearing in another video. 16 . The non-transitory computer readable recording medium according to claim 15 , wherein the programs further cause the computer to perform: changing a manner to highlight the second person included in the image, based on the elapsed time and a similarity between the first feature value and the second feature value. 17 . The non-transitory computer readable recording medium according to claim 16 , wherein the programs further cause the computer to perform: computing the similarity, wherein the elapsed time is provided after the similarity is computed. 18 . 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 exists in the first video and a second time when the second person exists in the second video.

Assignees

Inventors

Classifications

  • Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over · CPC title

  • in albums, collections or shared content, e.g. social network photos or video · CPC title

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

  • G08B13/196Primary

    using television cameras · CPC title

  • Recognition of crowd images, e.g. recognition of crowd congestion · CPC title

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What does patent US2022292942A1 cover?
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 …
Who is the assignee on this patent?
Nec Corp
What technology area does this patent fall under?
Primary CPC classification G08B13/196. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Sep 15 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).