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REU Project

REU Project. RGBD gesture recognition with the Microsoft Kinect. Steven Hickson. ChaLearn Competition. 20,000$ + up to 100,000$ prize in IP licensing 53 teams, 80 participants, 572 entries One shot gesture learning Can use depth and RGB.

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REU Project

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  1. REU Project RGBD gesture recognition with the Microsoft Kinect Steven Hickson

  2. ChaLearn Competition • 20,000$ + up to 100,000$ prize in IP licensing • 53 teams, 80 participants, 572 entries • One shot gesture learning • Can use depth and RGB. • Focused mostly on hand gestures but may include head movements or facial expressions • Rules: http://www.causality.inf.ethz.ch/Gesture/ChaLearnGestureChallengeOfficialRules12-5-11.pdf

  3. Constructing Point Clouds Started constructing point clouds of Chalearn database using multiple view geometry and calibration parameters.

  4. Approach • Implement New Pose Estimation algorithm • Change joint locations to 3D, change Pose Estimation algorithm to take advantage of 3D information. • Enforce rigid joint constraints using proportions between joint distances. • Action recognition, possibly using chaotic invariance.

  5. Old Pose Estimation Results

  6. Efficient Temporal Graph Based Person Segmentation

  7. Skin Chromatic Segmentation and Hand Tracking Takes advantage of human skin color and optical flow

  8. New Pose Estimation Results Error Still Exists

  9. Next: Skeleton Tracking Change SkelTrack Library to work with out input and upper body images

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