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PROXY TRAINING DATA FOR HUMAN BODY TRACKING

  • US 20110228976A1
  • Filed: 03/19/2010
  • Published: 09/22/2011
  • Est. Priority Date: 03/19/2010
  • Status: Active Grant
First Claim
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1. A processor-implemented method for generating proxy training data for human body tracking, comprising the processor-implemented steps of:

  • accessing at least one motion capture sequence which identifies poses of an actor'"'"'s body during a time period in which the actor performs a movement;

    performing retargeting to a plurality of body types and dissimilar pose selection, based on the at least one motion capture sequence, to provide a plurality of dissimilar poses; and

    rendering each of the dissimilar poses according to a 3-D body model for a respective body type of the plurality of body types, to provide a respective depth image of the dissimilar pose, and to provide a respective classification image which identifies body parts of the dissimilar pose, where a plurality of 3-D body models are used, one for each body type, and the respective depth image and the respective classification image comprise pixel data which is usable by a machine learning algorithm for human body tracking.

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