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公开(公告)号：US20200151441A1
公开(公告)日：2020-05-14
申请号：US16593789
申请日：2019-10-04
Applicant: Avigilon Corporation
Inventor： Moussa Doumbouya , Yanyan Hu , Kevin Piette , Pietro Russo , Peter L. Venetianer , Bo Yang Yu
Abstract: Alias capture to support searching for an object-of-interest is disclosed. A method includes capturing, using a camera with a defined field of view, video image frames that include a moving object-of-interest. The method also includes tracking the object-of-interest over a period of time starting when the object-of-interest enters the field of view and ending when the object-of-interest exits the field of view. The method also includes detecting, at a point in time in-between the start and end of the period of time of the tracking, a threshold exceeding change in an appearance of the object-of-interest. The method also includes creating, before the end of the period of time of the tracking, a new object profile for the object-of-interest in response to the detecting of the threshold exceeding change.
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公开(公告)号：US11625835B2
公开(公告)日：2023-04-11
申请号：US17323092
申请日：2021-05-18
Applicant: AVIGILON CORPORATION
Inventor： Moussa Doumbouya , Yanyan Hu , Kevin Piette , Pietro Russo , Peter L. Venetianer , Bo Yang Yu
Abstract: Alias capture to support searching for an object-of-interest is disclosed. A method includes capturing, using a camera with a defined field of view, video image frames that include a moving object-of-interest. The method also includes tracking the object-of-interest over a period of time starting when the object-of-interest enters the field of view and ending when the object-of-interest exits the field of view. The method also includes detecting, at a point in time in-between the start and end of the period of time of the tracking, a threshold exceeding change in an appearance of the object-of-interest. The method also includes creating, before the end of the period of time of the tracking, a new object profile for the object-of-interest in response to the detecting of the threshold exceeding change.
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Patent Agency Ranking
3.发明授权公开(公告)号：US11303877B2
公开(公告)日：2022-04-12
申请号：US16539888
申请日：2019-08-13
Applicant: Avigilon Corporation
Inventor： Dharanish Kedarisetti , Pietro Russo , Peter L. Venetianer , Mahesh Saptharishi
IPC: H04N13/268 , G06T15/40 , G06T7/50 , H04N13/239 , H04N13/00 , G06K9/00
Abstract: Methods, systems, and techniques for enhancing use of two-dimensional (2D) video analytics by using depth data. Two-dimensional image data representing an image comprising a first object is obtained, as well as depth data of a portion of the image that includes the first object. The depth data indicates a depth of the first object. An initial 2D classification of the portion of the image is generated using the 2D image data without using the depth data. The initial 2D classification is stored as an approved 2D classification when the initial 2D classification is determined consistent with the depth data. Additionally or alternatively, a confidence level of the initial 2D classification may be adjusted depending on whether the initial 2D classification is determined to be consistent with the depth data, or the depth data may be used with the 2D image data for classification.
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公开(公告)号：US11386284B2
公开(公告)日：2022-07-12
申请号：US16568012
申请日：2019-09-11
Applicant: Avigilon Corporation
Inventor： Nicholas John Alcock , Dharanish Kedarisetti , Peter L. Venetianer
Abstract: A method and system for processing images for a search is provided, including: receiving a plurality of images selected from search results; for each image in the plurality of images, retrieving a feature vector associated with the image; selecting a subset of the feature vectors based on similarity of feature vectors associated with the images in the plurality of images; and performing a search for feature vectors in a database similar to the feature vectors in the subset of feature vectors.
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公开(公告)号：US11600072B2
公开(公告)日：2023-03-07
申请号：US16709201
申请日：2019-12-10
Applicant: AVIGILON CORPORATION
Inventor： Pietro Russo , Mahesh Saptharishi , Peter L. Venetianer
Abstract: Techniques for automatically detecting objects left behind. An example method includes receiving video frames of a scene from a three-dimensional (3D) camera and establishing, based on 3D depths associated with the video frames, a background of the scene. The method also includes detecting, in the frames, a foreground blob in the scene based on the foreground blob having a 3D depth that is different from the background. The method further includes detecting that the foreground blob has separated into a blob corresponding to a person and a second blob corresponding to an object, based on the person having a 3D depth that is different from the object. The method additionally includes determining that the person has been separated from the object for a threshold, and responsive to determining that the person has been separated from the object for the threshold, generating an alert indicating that the object is left behind.
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公开(公告)号：US11048930B2
公开(公告)日：2021-06-29
申请号：US16593789
申请日：2019-10-04
Applicant: Avigilon Corporation
Inventor： Moussa Doumbouya , Yanyan Hu , Kevin Piette , Pietro Russo , Peter L. Venetianer , Bo Yang Yu
Abstract: Alias capture to support searching for an object-of-interest is disclosed. A method includes capturing, using a camera with a defined field of view, video image frames that include a moving object-of-interest. The method also includes tracking the object-of-interest over a period of time starting when the object-of-interest enters the field of view and ending when the object-of-interest exits the field of view. The method also includes detecting, at a point in time in-between the start and end of the period of time of the tracking, a threshold exceeding change in an appearance of the object-of-interest. The method also includes creating, before the end of the period of time of the tracking, a new object profile for the object-of-interest in response to the detecting of the threshold exceeding change.
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公开(公告)号：US11023707B2
公开(公告)日：2021-06-01
申请号：US16172517
申请日：2018-10-26
Applicant: Avigilon Corporation
Inventor： Keshav Thirumalai Seshadri , Peter L. Venetianer
Abstract: A cropped bounding box selection operation is performed on a video captured by a video capture and playback system, to select one or more cropped bounding boxes from the video for processing by a face detection operation. The cropped bounding box selection operation identifies objects from the video images and assigns a ranking to each identified object based on certain priority criteria; one or more cropped bounding boxes corresponding to the objects with the highest ranking(s) are then processed by the face detection operation to detect a face in each object.
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