# US 11,908,293 B2 · 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 > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,908,293 B2 - Document ID: US11908293B2 - Status: Granted - Kind: B2 - Application number: 17/828,088 - Filed: 2022-05-31 - Published: 2022-09-15 - Granted: 2024-02-20 - Earliest claimed: 2013-04-26 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Hiroyoshi Miyano - Web page: https://patentgrep.com/patent/US11908293B2 ## CPC - G08B 13/196: using television cameras - G06V 20/30: in albums, collections or shared content, e.g. social network photos or video - G06V 20/53: {Recognition of crowd images, e.g. recognition of crowd congestion} - G06V 20/54: of traffic, e.g. cars on the road, trains or boats - G08B 13/19645: {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} - H04N 7/181: {for receiving images from a plurality of remote sources} - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## 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. ## Claims ### Claim 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. ### Claim 2 (depends on 1) 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. ### Claim 3 (depends on 1) 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. ### Claim 4 (depends on 3) 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. ### Claim 5 (depends on 4) 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. ### Claim 6 (depends on 4) 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. ### Claim 7 (depends on 1) 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. ### Claim 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. ### Claim 9 (depends on 8) 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. ### Claim 10 (depends on 8) 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. ### Claim 11 (depends on 10) 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. ### Claim 12 (depends on 11) The information processing method according to claim 11, further comprising: computing the similarity, wherein the elapsed time is provided after the similarity is computed. ### Claim 13 (depends on 11) 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. ### Claim 14 (depends on 8) 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. ### Claim 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. ### Claim 16 (depends on 15) 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. ### Claim 17 (depends on 15) 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. ### Claim 18 (depends on 17) 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. ### Claim 19 (depends on 18) 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. ### Claim 20 (depends on 15) The non-transitory computer readable recording medium according to claim 15, 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.