关键词: 数学期望移动 连续自适应数学期望移动 手势跟踪 颜色概率分布

Abstract:

This paper presents a modified CAMSHIFT algorithm which implements dynamic hand tracking m a real-time way. For each video frame, the raw image is con  verted to a flesh colour probability distribution image via a flesh colour probability table. Considering the hand motion and flesh colour probability d  istribution, the size and location of a search window are initialized. Then the size and location of the hand are determincd via this algorithm. The final width and height of ROI are found by computing the second moment of the hand area in the flesh colour probability distribution image. The current size and location of the tracked hand are reported and used to set the size and location of the search window in the next video image. Experiments show this method is robust to noise and distractors. And it can track the hand accurately in a real-time way.

Key words: （Mean Shift, CAMSHIFT, hand tracking, colour probability distribution）