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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：US20210019374A1
公开(公告)日：2021-01-21
申请号：US16514932
申请日：2019-07-17
Applicant: Avigilon Corporation
Inventor： Roger David DONALDSON , Cathy JIAO
Abstract: Multiple natural language training text strings are obtained. For example, text portions may be randomly selected and converted into natural language text based on one or more randomly selected rules. A formatted training text string is generated for each natural language training text string, for example using a context-free grammar parser. The formatted training text strings are inputted to a machine learning model. For each formatted training text string, using the machine learning model, a natural language text string is generated. The natural language text string is associated with one of the natural language training text strings. One or more parameters of the machine learning model are adjusted based on one or more differences between at least one of the natural language text strings and its associated natural language training text string.
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公开(公告)号：US20200026949A1
公开(公告)日：2020-01-23
申请号：US16038034
申请日：2018-07-17
Applicant: Avigilon Corporation
Inventor： Nicholas John ALCOCK , Seyedmostafa AZIZABADIFARAHANI , Alexander CHAU , Roger David DONALDSON
Abstract: Methods, systems, and techniques for performing a hash-based appearance search. A processor is used to obtain a hash vector that represents a search subject that is depicted in an image. The hash vector includes one or more hashes as a respective one or more components of the hash vector. The processor determines which one or more of the hashes satisfy a threshold criterion and which one or more of the components of the hash vector qualify as a scoring component. The one or more components that qualify correspond to a respective one or more hashes that satisfy the threshold criterion and that are represented in a scoring database that is generated based on different examples of a search target. The processor determines a score representing a similarity of the search subject to the different examples of the search target.
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公开(公告)号：US20210368137A1
公开(公告)日：2021-11-25
申请号：US16753646
申请日：2019-11-06
Applicant: Avigilon Corporation
Inventor： Tulio de Souza Alcantara , Roger David DONALDSON , David Flanagan , Zachary Lang , Quan Pan , Brenna Randlett , Brady James Schnell
IPC: H04N7/18 , G06F3/0481 , G06F3/0482 , H04N5/268 , G06K9/00
Abstract: A method for displaying video streams involves detecting multiple video events, and displaying multiple video streams on a display. Display windows for displayed video streams define an ordered sequence of display windows. When a new event is detected, the display of one or more of the video streams is shifted to respective next one or more display windows in an ordered sequence of display windows.
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