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公开(公告)号：US09729865B1
公开(公告)日：2017-08-08
申请号：US14307492
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
CPC classification number: H04N13/366 , G06F1/1686 , G06F1/3206 , G06F1/3231 , G06K9/00201 , G06K9/00248 , G06K9/00268 , G06K9/00295 , G06K9/00771 , G06T2207/10021 , H04N5/76 , H04N13/204 , H04N13/239 , H04N13/271 , H04N2013/0081 , Y02D10/173
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
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公开(公告)号：US09298974B1
公开(公告)日：2016-03-29
申请号：US14307493
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
CPC classification number: H04N13/239 , G06K9/00261 , G06K9/00288 , G06K9/03 , H04N13/271 , H04N2013/0081 , H04N2013/0092
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
Abstract translation: 各种实施例使得能够使用立体声关联和多个跟踪算法来识别和跟踪主要用户。 例如，可以独立地通过各个相机拍摄的每个图像上运行面部检测算法。 可以执行立体声协会来匹配相机之间的面孔。 如果脸部匹配并且确定了主要用户，则创建面部对并将其用作用于初始化对象跟踪的存储器中的第一数据点。 此外，可以提取用户面部的特征，并且图像之间的这些特征的位置变化可以确定将为该特定帧使用什么跟踪方法。
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公开(公告)号：US10027883B1
公开(公告)日：2018-07-17
申请号：US14307491
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
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