13. An apparatus for hand position detection, comprising: a camera; and a processor programmed to: extract a feature set associated with hand gesture detection and hand pose inference from at least one input image received via the camera, the feature set including image pyramids; trigger scale invariant feature transforms (SIFT) feature extraction; calculate an optical flow path of a flock of features of the at least one input image; infer a hand pose type using a trained multiclass support vector machine (SVM); and approximate the hand pose using inverse kinematics (IK) optimization.
20. The apparatus according to claim 13 , where, in being programmed to approximate the hand pose using IK optimization, the processor is programmed to: partition the at least one input image into a plurality of processing regions; determine a centroid of features within each of the plurality of processing regions; and map a location of each feature centroid onto three dimensional (3D) pose data associated with a motion capture data set.