关键词: 视觉技术, 手势跟踪, 动作识别, 图像处理

Abstract: The gesture tracking and motion recognition of production line disciplined operational motion in industrial engineering was researched in this paper. Through the color analysis of hands skin, the YCbCr color model was used to recognize the hand area, the pretreatment so as threshold segmentation for video image was used in YCbCr color model to obtain the complete hand area; the Euclidean distance transform method was used to calculate the distance between the adjacent two hand trajectory points and speed of each frame image's hand movements, then the extended finite state machine model was used to realize the segmentation of hand movements, matching the segmented motions and established motion templates, and the Hausdorff distance matching method was used to determine the accuracy of the matching results, the recognition of hand gesture was realized. Experimental results show that the hand gesture recognition algorithm has certain anti-noise ability for background interference and camera vibrations, and has higher recognition accuracy, can satisfy the application requirements of real work environment.

Key words: vision technology, gesture tracking, motion recognition, image processing