基于OpenCV的实时动态手势检测研究

摘要

This paper analyzes the real-time dynamic gesture detection based on the OpenCV. With the combination of background subtraction and the dynamic skin color, the information of the dynamic skin color of the HSV color space is marked and its brightness is modified. As a result, the disturbing of the static face is eliminated. Moreover, with the morphological processing, the expected dynamic gesture detection is realized.%基于OpenCV对实时动态手势检测进行了研究，将背景差分与运动肤色相结合，选择对HSV颜色空间的运动肤色信息进行标记，修改了运动肤色的亮度值，从而排除了静止人脸的干扰，并通过形态学处理，获得了预期的动态手势检测效果。