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Patent Agency Ranking
1.发明授权公开(公告)号：US10699421B1
公开(公告)日：2020-06-30
申请号：US15473430
申请日：2017-03-29
Applicant: Amazon Technologies, Inc.
Inventor： Boris Cherevatsky , Roman Goldenberg , Gerard Guy Medioni , Ofer Meidan , Ehud Benyamin Rivlin , Dilip Kumar
Abstract: The motion of objects within a scene may be detected and tracked using digital (e.g., visual and depth) cameras aligned with fields of view that overlap at least in part. Objects may be identified within visual images captured from the scene using a tracking algorithm and correlated to point clouds or other depth models generated based on depth images captured from the scene. Once visual aspects (e.g., colors or other features) of objects are correlated to the point clouds, shapes and/or positions of the objects may be determined and used to further train the tracking algorithms to recognize the objects in subsequently captured frames. Moreover, a Kalman filter or other motion modeling technique may be used to enhance the prediction of a location of an object within subsequently captured frames.
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2.发明授权公开(公告)号：US11315262B1
公开(公告)日：2022-04-26
申请号：US16909824
申请日：2020-06-23
Applicant: Amazon Technologies, Inc.
Inventor： Boris Cherevatsky , Roman Goldenberg , Gerard Guy Medioni , Ofer Meidan , Ehud Benyamin Rivlin , Dilip Kumar
Abstract: The motion of objects within a scene may be detected and tracked using digital (e.g., visual and depth) cameras aligned with fields of view that overlap at least in part. Objects may be identified within visual images captured from the scene using a tracking algorithm and correlated to point clouds or other depth models generated based on depth images captured from the scene. Once visual aspects (e.g., colors or other features) of objects are correlated to the point clouds, shapes and/or positions of the objects may be determined and used to further train the tracking algorithms to recognize the objects in subsequently captured frames. Moreover, a Kalman filter or other motion modeling technique may be used to enhance the prediction of a location of an object within subsequently captured frames.
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公开(公告)号：US12073571B1
公开(公告)日：2024-08-27
申请号：US17727452
申请日：2022-04-22
Applicant: Amazon Technologies, Inc.
Inventor： Boris Cherevatsky , Roman Goldenberg , Gerard Guy Medioni , Ofer Meidan , Ehud Benyamin Rivlin , Dilip Kumar
IPC: G06T7/292 , G06F18/2113 , G06F18/2415 , G06T7/55 , G06T11/60 , H04N7/18 , H04N23/90
CPC classification number: G06T7/292 , G06F18/2113 , G06F18/2415 , G06T7/55 , G06T11/60 , H04N7/181 , H04N7/188 , H04N23/90 , G06T2207/10024 , G06T2207/10028 , G06T2207/20081 , G06T2210/12
Abstract: The motion of objects within a scene may be detected and tracked using digital (e.g., visual and depth) cameras aligned with fields of view that overlap at least in part. Objects may be identified within visual images captured from the scene using a tracking algorithm and correlated to point clouds or other depth models generated based on depth images captured from the scene. Once visual aspects (e.g., colors or other features) of objects are correlated to the point clouds, shapes and/or positions of the objects may be determined and used to further train the tracking algorithms to recognize the objects in subsequently captured frames. Moreover, a Kalman filter or other motion modeling technique may be used to enhance the prediction of a location of an object within subsequently captured frames.
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公开(公告)号：US10733450B1
公开(公告)日：2020-08-04
申请号：US16291632
申请日：2019-03-04
Applicant: Amazon Technologies, Inc.
Inventor： Roman Goldenberg , Gerard Guy Medioni , Ofer Meidan , Ehud Benyamin Rivlin , Dilip Kumar
Abstract: Multiple video files that are captured by calibrated imaging devices may be annotated based on a single annotation of an image frame of one of the video files. An operator may enter an annotation to an image frame via a user interface, and the annotation may be replicated from the image frame to other image frames that were captured at the same time and are included in other video files. Annotations may be updated by the operator and/or tracked in subsequent image frames. Predicted locations of the annotations in subsequent image frames within each of the video files may be determined, e.g., by a tracker, and a confidence level associated with any of the annotations may be calculated. Where the confidence level falls below a predetermined threshold, the operator may be prompted to delete or update the annotation, or the annotation may be deleted.
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公开(公告)号：US10223591B1
公开(公告)日：2019-03-05
申请号：US15474946
申请日：2017-03-30
Applicant: Amazon Technologies, Inc.
Inventor： Roman Goldenberg , Gerard Guy Medioni , Ofer Meidan , Ehud Benyamin Rivlin , Dilip Kumar
Abstract: Multiple video files that are captured by calibrated imaging devices may be annotated based on a single annotation of an image frame of one of the video files. An operator may enter an annotation to an image frame via a user interface, and the annotation may be replicated from the image frame to other image frames that were captured at the same time and are included in other video files. Annotations may be updated by the operator and/or tracked in subsequent image frames. Predicted locations of the annotations in subsequent image frames within each of the video files may be determined, e.g., by a tracker, and a confidence level associated with any of the annotations may be calculated. Where the confidence level falls below a predetermined threshold, the operator may be prompted to delete or update the annotation, or the annotation may be deleted.
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