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1.发明申请公开(公告)号：US20190171885A1
公开(公告)日：2019-06-06
申请号：US16205643
申请日：2018-11-30
申请人： Avigilon Corporation
发明人： Alexander Chau , Ken Jessen , Shaun P. Marlatt
摘要： Generating signatures within a network that includes a plurality of computing devices of varying processing capabilities is disclosed. Chips may be transmitted, from a network video recorder and over the network, to an analytics appliance having a GPU processing power that is higher than a GPU processing power possessed by the network video recorder. The GPU processing power possessed by the analytics appliance may be employed to process the chips therein and generate respective signatures.
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公开(公告)号：US10891509B2
公开(公告)日：2021-01-12
申请号：US16172557
申请日：2018-10-26
申请人： Avigilon Corporation
发明人： Moussa Doumbouya , Lu He , Yanyan Hu , Mahesh Saptharishi , Hao Zhang , Nicholas John Alcock , Roger David Donaldson , Seyedmostafa Azizabadifarahani , Ken Jessen
摘要： 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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3.发明申请公开(公告)号：US20190294631A1
公开(公告)日：2019-09-26
申请号：US16355470
申请日：2019-03-15
申请人： Avigilon Corporation
发明人： Tulio de Souza Alcantara , Courtney Anne Adame Cheng , Roger David Donaldson , David Flanagan , Ken Jessen , Eric Sjue
IPC分类号： G06F16/783 , G06K9/00 , G06F16/74 , G06F16/9032 , G06N3/08
摘要： Methods, systems, and techniques for performing a facet search include receiving facet search commencement user input indicating that a search for a facet is to commence; in response to the facet search commencement user input, searching one or more video recordings for the facet; and displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings. An artificial neural network may be used for the facet search, and that network may be trained by generating a facet image training set that comprises training images, with the training images depicting a type of facet common to the training images; and training, by using the facet image training set, that neural network to classify the type of facet when a sample image comprising the type of facet is input to that network.
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公开(公告)号：US11526549B2
公开(公告)日：2022-12-13
申请号：US16355470
申请日：2019-03-15
申请人： Avigilon Corporation
发明人： Tulio de Souza Alcantara , Courtney Anne Adame Cheng , Roger David Donaldson , David Flanagan , Ken Jessen , Eric Sjue
IPC分类号： G06F16/78 , G06F16/783 , G06N3/08 , G06F16/9032 , G06F16/74 , G06V20/40
摘要： Methods, systems, and techniques for performing a facet search include receiving facet search commencement user input indicating that a search for a facet is to commence; in response to the facet search commencement user input, searching one or more video recordings for the facet; and displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings. An artificial neural network may be used for the facet search, and that network may be trained by generating a facet image training set that comprises training images, with the training images depicting a type of facet common to the training images; and training, by using the facet image training set, that neural network to classify the type of facet when a sample image comprising the type of facet is input to that network.
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公开(公告)号：US11455801B2
公开(公告)日：2022-09-27
申请号：US16205643
申请日：2018-11-30
申请人： Avigilon Corporation
发明人： Alexander Chau , Ken Jessen , Shaun P. Marlatt
摘要： Generating signatures within a network that includes a plurality of computing devices of varying processing capabilities is disclosed. Chips may be transmitted, from a network video recorder and over the network, to an analytics appliance having a GPU processing power that is higher than a GPU processing power possessed by the network video recorder. The GPU processing power possessed by the analytics appliance may be employed to process the chips therein and generate respective signatures.
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