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公开(公告)号：US11069131B2
公开(公告)日：2021-07-20
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US10657383B1
公开(公告)日：2020-05-19
申请号：US15274885
申请日：2016-09-23
Applicant: Amazon Technologies, Inc.
Inventor： Mashhour Solh , Siyi Ding , Rohith Mysore Vijaya Kumar , Xiaoran Wang
Abstract: This application describes techniques for providing computer vision for manual services. In some instances, a remote system may determine that a current time is within a threshold period of time of a scheduled service and, based on the determination, send a first message requesting image data to a camera apparatus located within an environment. After sending the first message, the remote system may receive image data associated with the environment from the camera apparatus and use the image to detect an object within the environment. The remote system can then send a second message to a device of a guest and a third message to a device of a user, where each of the second message and the third message indicates that the object is within the environment. In some instances, the object can include an animal while in some instances, the object can include a person.
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公开(公告)号：US10198823B1
公开(公告)日：2019-02-05
申请号：US16110767
申请日：2018-08-23
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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公开(公告)号：US09842402B1
公开(公告)日：2017-12-12
申请号：US14976460
申请日：2015-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Rohith Mysore Vijaya Kumar , Abhishek Singh , Ambrish Tyagi
CPC classification number: G06T7/0081 , G06T7/0097 , G06T7/2053 , G06T7/206 , G06T7/215 , G06T2207/20021 , G06T2207/20056 , G06T2207/20144 , G06T2207/20224 , G06T2207/30241 , H04N1/00 , H04N5/23206 , H04N5/23238 , H04N5/23254 , H04N5/3415
Abstract: Various examples are directed to systems and methods for detecting regions in video frames. For example, a computing device may receive a video comprising a plurality of frames and a video frame sequence of the plurality of frames. The computing device may select a plurality of scene point location from a first frame. The computing device may determine a plurality of columns in the first frame and fit a first sinusoidal function to a distribution of average column Y-axis displacements for the plurality of columns by column position. The computing device may determine a first difference based at least in part on the first scene point Y-axis displacement and an output of the first sinusoidal function at the X-axis position of the first scene point and determine that the first difference is greater than a threshold distance.
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公开(公告)号：US09818451B1
公开(公告)日：2017-11-14
申请号：US14976844
申请日：2015-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Ambrish Tyagi , Suresh Bholabhai Lakhani , Rohith Mysore Vijaya Kumar , Yadunandana Nagaraja Rao , Amit Kumar Agrawal
CPC classification number: G11B27/34 , G06K9/00744 , G06K9/00751 , G06K9/00758 , G06K9/00765 , G11B27/3081
Abstract: A system and method for selecting portions of video data from preview video data is provided. The system may extract image features from the preview video data and discard video frames associated with poor image quality based on the image features. The system may determine similarity scores between individual video frames and corresponding transition costs and may identify transition points in the preview video data based on the similarity scores and/or transition costs. The system may select portions of the video data for further processing based on the transition points and the image features. By selecting portions of the video data, the system may reduce a bandwidth consumption, processing burden and/or latency associated with uploading the video data or performing further processing.
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Patent Agency Ranking
公开(公告)号：US11836853B2
公开(公告)日：2023-12-05
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
CPC classification number: G06T17/00 , A61B5/4872 , G06T15/005 , G06T15/80 , G06T19/20 , G06T2210/41
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US11367286B1
公开(公告)日：2022-06-21
申请号：US16810164
申请日：2020-03-05
Applicant: Amazon Technologies, Inc.
Inventor： Mashhour Solh , Siyi Ding , Rohith Mysore Vijaya Kumar , Xiaoran Wang
IPC: G07C9/00 , H04L67/125 , G06V20/52 , G06Q10/08 , H04L67/55 , H04L67/54 , G06V40/10 , H04L67/306
Abstract: This application describes techniques for providing computer vision for manual services. In some instances, a remote system may determine that a current time is within a threshold period of time of a scheduled service and, based on the determination, send a first message requesting image data to a camera apparatus located within an environment. After sending the first message, the remote system may receive image data associated with the environment from the camera apparatus and use the image to detect an object within the environment. The remote system can then send a second message to a device of a guest and a third message to a device of a user, where each of the second message and the third message indicates that the object is within the environment. In some instances, the object can include an animal while in some instances, the object can include a person.
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公开(公告)号：US20210343074A1
公开(公告)日：2021-11-04
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US20210097759A1
公开(公告)日：2021-04-01
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US10096122B1
公开(公告)日：2018-10-09
申请号：US15472041
申请日：2017-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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