Controlling Computer Music Player Based On Human Hand Activity by Using CAMSHIFT Algorithm

The intent of the paper is to apply computer vision technique to control the music player by CAMSHIFT algorithm. Based on the human hand activity, gesture and posture recognition are used to communicate with computers. Gesture is the physical movement of a hand, expressive of an idea. Posture is the static morph of a hand. In this paper skin colour segmentation is used for hand detection, after hand detection CAMSHIFT algorithm is used for hand tracking stage. The algorithm first create the probability distribution image of the desired colour in the video sequence, then uses Hue Saturation colour system, finally CAMSHIFT algorithm is applied for hand tracking. MATLAB based simulation is used to obtain results. Keywords— gesture, posture, skin colour segmentation, CAMSHIFT, HSV