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Primary user selection for head tracking

專利號(hào)
US10027883B1
公開(kāi)日期
2018-07-17
申請(qǐng)人
Amazon Technologies, Inc.(US NV Reno)
發(fā)明人
Cheng-Hao Kuo; Jim Oommen Thomas; Tianyang Ma; Stephen Vincent Mangiat; Sisil Sanjeev Mehta; Ambrish Tyagi; Amit Kumar Agrawal; Kah Kuen Fu; Sharadh Ramaswamy
IPC分類(lèi)
G06K9/00; G06K9/46; G06K9/66; H04N5/225; H04N5/232
技術(shù)領(lǐng)域
face,image,in,tracking,user,bounding,or,device,algorithm,can
地域: NV NV Reno

摘要

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.

說(shuō)明書(shū)

Once a face pair is created, a subsequent image captured by each camera is analyzed to detect the primary face (e.g., tracking-by-detection). Some tracking algorithms are designed to track a face only when it is detected in a previous image. Placing such a limitation, however, could render such a method inoperable when a face is not recognized in, for example, a second image by the face detection algorithm, but is detected in the first and third image in a respective sequence. In such an instance, a second tracking algorithm, such as a Median Flow Tracker (MFT), can be used when a face is detected in a previous image captured by each camera, but is not detected in any of the current images from the cameras. Thus, in this example, the MFT algorithm detects the face in at least one of the current images and, then, in a subsequent frame, the process of attempting to detect the face using the face detection algorithm resumes. Therefore, if the face pair is detected in a previous frame, tracking-by-detection is performed. If the face pair is not detected in the previous frame, the MFT algorithm is used.

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