关键词: 检测, 手势跟踪, 时空上下文

Abstract: A gesture tracking and recognition method based on spatio-temporal context is proposed to solve the problems such as gesture posture variation, occlusion, illumination changes under the complex background. Firstly, in order to get the location information of gesture, machine learning is used for off-line training a gesture classifier; then spatio-temporal context algorithm is used to track dynamic gesture. At the same time, the?gesture?detection algorithm is used for?real-time?calibration?to the gesture?position information in order to avoid?drift, target?lost in the tracking process. Finally, according to the gesture?trajectory?tracking, hand movements can be identified. Experimental results show that the proposed algorithm can achieve rapid, accurate and continuous recognition of the gesture motion and meets the requirements of the human-computer interaction.

Key words: detection, gesture tracking, spatio-temporal context