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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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公开(公告)号：US10482625B1
公开(公告)日：2019-11-19
申请号：US15472166
申请日：2017-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a multiple-imaging device system and process for calibrating each of the imaging devices to a global color space so that image pixel values representative of an imaged object are the same or similar regardless of the imaging device that produced the image data or the lighting conditions surrounding the object.
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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：US11328513B1
公开(公告)日：2022-05-10
申请号：US15806098
申请日：2017-11-07
Applicant: Amazon Technologies, Inc.
Inventor： Eli Osherovich , Ehud Benyamin Rivlin , Yacov Hel-Or , Dmitri Veikherman , Dilip Kumar , Gerard Guy Medioni , George Leifman
Abstract: Described is a multiple-camera system and process for detecting, tracking, and re-verifying agents within a materials handling facility. In one implementation, a plurality of feature vectors may be generated for an agent and maintained as an agent model representative of the agent. When the object being tracked as the agent is to be re-verified, feature vectors representative of the object are generated and stored as a probe agent model. Feature vectors of the probe agent model are compared with corresponding feature vectors of candidate agent models for agents located in the materials handling facility. Based on the similarity scores, the agent may be re-verified, it may be determined that identifiers used for objects tracked as representative of the agents have been flipped, and/or to determine that tracking of the object representing the agent has been dropped.
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公开(公告)号：US10699152B1
公开(公告)日：2020-06-30
申请号：US15841241
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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Patent Agency Ranking
6.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：US10664962B1
公开(公告)日：2020-05-26
申请号：US15841243
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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公开(公告)号：US11961303B1
公开(公告)日：2024-04-16
申请号：US17738960
申请日：2022-05-06
Applicant: Amazon Technologies, Inc.
Inventor： Eli Osherovich , Ehud Benyamin Rivlin , Yacov Hel-Or , Dmitri Veikherman , Dilip Kumar , Gerard Guy Medioni , George Leifman
CPC classification number: G06V20/52 , G06F18/22 , G06V10/74 , G06V10/751 , G06V40/103 , G06V40/166 , G06V40/168 , G06V40/172 , G06V40/23
Abstract: Described is a multiple-camera system and process for detecting, tracking, and re-verifying agents within a materials handling facility. In one implementation, a plurality of feature vectors may be generated for an agent and maintained as an agent model representative of the agent. When the object being tracked as the agent is to be re-verified, feature vectors representative of the object are generated and stored as a probe agent model. Feature vectors of the probe agent model are compared with corresponding feature vectors of candidate agent models for agents located in the materials handling facility. Based on the similarity scores, the agent may be re-verified, it may be determined that identifiers used for objects tracked as representative of the agents have been flipped, and/or to determine that tracking of the object representing the agent has been dropped.
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公开(公告)号：US11354885B1
公开(公告)日：2022-06-07
申请号：US16914959
申请日：2020-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
IPC: G06V10/60 , G06V10/10 , G06V10/141 , G06V10/147 , G06V10/75 , G06V20/52
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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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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