Amazon Technologies, Inc.

Qualcomm Incorporated

Sisil Sanjeev Mehta

Amit Kumar Agrawal

Sharadh Ramaswamy

Ambrish Tyagi

Stephen Vincent Mangiat

Kah Kuen Fu

Jim Oommen Thomas

Cheng-Hao Kuo

Tianyang Ma

Michael-David Nakayoshi Canoy

Kirtika Ruchandani

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.

Primary user selection for head tracking

Object detection and tracking

Embodiments include apparatuses, systems, and methods mobile coprocessing. A connection is established between a mobile device and an auxiliary computing device. The mobile device implements a CPU abstraction layer and a virtual CPU between a software stack and a CPU of the mobile device. The abstraction layer allows for the mobile device to offload tasks to the auxiliary computing device while the software stack interacts with the abstraction layer as if the tasks are being executed by the CPU of the mobile device. The mobile device of allocates tasks to the auxiliary computing device based on various parameters, including properties of the auxiliary computing device, metrics of the connection, and priorities of the tasks.

Mobile coprocessor system and methods

Object identification through stereo association

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San Jose, CA, United States of America

Sisil Sanjeev Mehta