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AssigneeQUALCOMM Incorporated
InventorsMohammad Sadegh Ali Akbarian, Amirhossein Habibian, Koen Erik Adriaan Van De Sande
Estimating the term…
Certain aspects of the present disclosure are directed to methods and apparatus for predicting subject motion using probabilistic models. One example method generally includes receiving training data comprising a set of subject pose trees. The set of subject pose trees comprises a plurality of subsets of subject pose trees associated with an image in a sequence of images, and each subject pose tree in the subset indicates a location along an axis of the image at which each of a plurality of joints of a subject is located. The received training data may be processed in a convolutional neural network to generate a trained probabilistic model for predicting joint distribution and subject motion based on density estimation. The trained probabilistic model may be deployed to a computer vision system and configured to generate a probability distribution for the location of each joint along the axis.
A method, comprising:
An apparatus, comprising:
An apparatus, comprising:
A non-transitory computer-readable medium having instructions stored thereon which, when executed by a processor, performs an operation comprising:
Dependencies are inferred from the claim text.