Abstract: Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment of the invention includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger.

Abstract: Systems and methods for tracking human hands using parts based template matching are described. One embodiment of the invention includes a processor, a reference camera and memory containing: a hand tracking application; and a finger template including an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a frame of video data received from the reference camera, where each candidate finger is a grouping of pixels identified by searching the frame of video data for a grouping of pixels that have image gradient orientations that match the edge features of the finger template accounting for rotation and scaling differences; and verify the correct detection of a candidate finger by confirming that the colors of the pixels within the grouping of pixels identified as a candidate finger satisfy a skin color criterion.