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公开(公告)号：US20190130202A1
公开(公告)日：2019-05-02
申请号：US16172557
申请日：2018-10-26
Applicant: Avigilon Corporation
Inventor： Moussa DOUMBOUYA , Lu HE , Yanyan HU , Mahesh SAPTHARISHI , Hao ZHANG , Nicholas John ALCOCK , Roger David DONALDSON , Seyedmostafa AZIZABADIFARAHANI , Ken JESSEN
Abstract: There are described methods and systems for facilitating identification of an object-of-interest. A face similarity score and a body similarity score of a query image relative to a gallery image are determined. A fused similarity score of the query image relative to the gallery image is determined by applying a relationship between the face similarity score, the body similarity score, and the fused similarity score. The fused similarity score is indicative of whether or not the object-of-interest and the potential object-of-interest are the same object-of-interest. For example, a machine learning process is used to fuse the face similarity score and the body similarity into the fused similarity score. The process is repeated for multiple gallery images. The gallery images may then be ranked according to their respective fused similarity scores.
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公开(公告)号：US20190332901A1
公开(公告)日：2019-10-31
申请号：US16265731
申请日：2019-02-01
Applicant: Avigilon Corporation
Inventor： Moussa DOUMBOUYA , Yanyan HU , Kevin PIETTE , Pietro RUSSO , Mahesh SAPTHARISHI , Bo Yang YU
IPC: G06K9/62 , G06T7/20 , G06T7/593 , G06K9/00 , G08B21/18 , G01S13/04 , A61B5/01 , A61B5/08 , A61B5/00
Abstract: Methods, systems, and techniques for monitoring an object-of-interest within a region involve receiving at least data from two sources monitoring a region and correlating that data to determine that an object-of-interest depicted or represented in data from one of the sources is the same object-of-interest depicted or represented in data from the other source. Metadata identifying that the object-of-interest from the two sources is the same object-of-interest is then stored for later use in, for example, object tracking.
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公开(公告)号：US20190080722A1
公开(公告)日：2019-03-14
申请号：US16160882
申请日：2018-10-15
Applicant: Avigilon Corporation
Inventor： Moussa DOUMBOUYA , Mahesh SAPTHARISHI , Eric SJUE , Hannah VALBONESI
IPC: G11B27/22 , G06F3/0482 , G06F3/0484 , G06Q10/00 , G11B27/28 , H04N7/18 , G11B27/34 , G11B27/10 , G11B27/30 , G06T7/292
CPC classification number: G11B27/22 , G06F3/0482 , G06F3/04847 , G06Q10/00 , G06T7/292 , G06T7/74 , G06T2207/10016 , G06T2207/20076 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , G11B27/102 , G11B27/28 , G11B27/3081 , G11B27/309 , G11B27/34 , H04N7/181 , H04N7/188
Abstract: A method, system and computer program product for interactively identifying same individuals or objects present in video recordings is disclosed. When a thumbnail in a set of thumbnails is selected, new information is obtained. The new information may be that an individual or object is present in the portion of the video recording associated with the thumbnail. A search can be carried out for the individual or object based on the new information. The search generates new match likelihoods for each of displayed thumbnails within a user interface page. The displayed thumbnails are re-ordered based on the new match likelihoods.
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