Computer Recognition of Human Movements from Any Angle
Simplifies classificationEffective with data from any camera and viewpointImproves accuracy
Video surveillance Physical therapy Sports enhancement and technique
Unlike conventional methods that study human body pose as a whole, this method charts a body pose as a triplet of points. Since any three non-collinear points in the 3D space define a planar surface, a very difficult and highly non-linear problem can be broken down, based on the discovery of projective invariants, into a collection of relatively simple and linear problems. By reducing the original problem of non-rigid body pose estimation to an estimation of poses charted across planes, this innovative method is more widely applicable and accurate than conventional methods.
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