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公开(公告)号:US20240257517A1
公开(公告)日:2024-08-01
申请号:US18161476
申请日:2023-01-30
Applicant: Verint Americas Inc
Inventor: Michael Sutton , Zvi Figov , Nir Naor
IPC: G06V20/40 , G06F16/78 , G06V10/774
CPC classification number: G06V20/44 , G06F16/7867 , G06V10/774
Abstract: A tagging system gathers all events (tagged and untagged) generated by remote sensors at a location or facility over time. Based on the gathered events the tagging system uses machine learning to train a model to learn the sensor layout of a facility or location and the timing between the triggering of sensors. Once trained, the model can predict the movement and location of individuals and objects throughout the facility based on a starting tagged event. Given a series of tagged and untagged events, the system can use the movement predictions of the model to tag the untagged events in the series with the identification of an individual or object that triggered the generation of the untagged event.
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公开(公告)号:US20170289505A1
公开(公告)日:2017-10-05
申请号:US15477294
申请日:2017-04-03
Applicant: Verint Americas Inc.
Inventor: Alexander Steven Johnson , Nir Naor , Yaron Ostrovsky-Berman , Zvi Figov
IPC: H04N7/18 , G11B27/10 , G06F3/0486 , G11B27/031 , G06T7/70 , G06F3/0484
CPC classification number: H04N7/181 , G06T7/292 , G06T2200/24 , G06T2207/10016 , G06T2207/10024 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , G11B27/105 , G11B27/28
Abstract: Tracking of targets in video captured by a multi-camera surveillance system is often difficult due to incomplete camera coverage and due to the complexities associated with automated recognition in a dense and highly variable environment. The present disclosure embraces a system and method for target tracking in a multi-camera surveillance system that reduces the time required for a user to track a target by offering computer generated search results that include suggestions of candidates found in the video that match (to some degree) the target. When one of the candidates is selected by a user, the search is shifted to other cameras and continued. In this way, the target may be tracked quickly. Further, a playlist of video snippets of the target is accumulated during the search and can be played to show all captured video of the target moving about the facility.
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公开(公告)号:US20220141425A1
公开(公告)日:2022-05-05
申请号:US17573943
申请日:2022-01-12
Applicant: Verint Americas Inc.
Inventor: Alexander Steven Johnson , Nir Naor , Yaron Ostrovsky-Berman , Zvi Figov
Abstract: Tracking of targets in video captured by a multi-camera surveillance system is often difficult due to incomplete camera coverage and due to the complexities associated with automated recognition in a dense and highly variable environment. The present disclosure embraces a system and method for target tracking in a multi-camera surveillance system that reduces the time required for a user to track a target by offering computer generated search results that include suggestions of candidates found in the video that match (to some degree) the target. When one of the candidates is selected by a user, the search is shifted to other cameras and continued. In this way, the target may be tracked quickly. Further, a playlist of video snippets of the target is accumulated during the search and can be played to show all captured video of the target moving about the facility.
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公开(公告)号:US11258985B2
公开(公告)日:2022-02-22
申请号:US15477294
申请日:2017-04-03
Applicant: Verint Americas Inc.
Inventor: Alexander Steven Johnson , Nir Naor , Yaron Ostrovsky-Berman , Zvi Figov
Abstract: Tracking of targets in video captured by a multi-camera surveillance system is often difficult due to incomplete camera coverage and due to the complexities associated with automated recognition in a dense and highly variable environment. The present disclosure embraces a system and method for target tracking in a multi-camera surveillance system that reduces the time required for a user to track a target by offering computer generated search results that include suggestions of candidates found in the video that match (to some degree) the target. When one of the candidates is selected by a user, the search is shifted to other cameras and continued. In this way, the target may be tracked quickly. Further, a playlist of video snippets of the target is accumulated during the search and can be played to show all captured video of the target moving about the facility.
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