Hand Tracking by Integrating Color and Shape Cues Based on Particle Filters

In the process of human computer interaction, hand tracking is of great importance. A practical and effective hand tracking method by integrating color and shape cues based on particle filters is proposed. Firstly, an elliptical tracking window containing the hand is determined manually in the initial frame. Then the likelihood functions of two tracking cues can be obtained. A first-order system equation is used as the motion model. In the tracking process, the weights of each cue are calculated frame by frame. Experimental results demonstrate that the proposed method can track the moving hand accurately. The proposed hand tracking method can be used in the fields of human computer interaction and augmented reality.