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.
24. The apparatus according to claim 13 , where the processor is further programmed to: define a configurable resolution threshold for image processing; and adjust the configurable resolution threshold.