关键词: 深度传感器, 时空兴趣点, 特征融合, 行为识别

Abstract: Compared with traditional light cameras, the depth sensor has advantages of synchronous acquisition of RGB image and depth image and provides a new way for human action recognition. Thus, it uses the optimized STIPs algorithm to extract STIPs for color and depth image sequence separately. Considering the limitation of color and depth image, it integrates the STIPs according to the rules. Owing to the redundancy of combining features, spatial-temporal clustering method is used to process the STIPs and SVM classifier trains and tests the samples. The experimental result demonstrates that the result based on proposed method is as accurate as 91%, which is much better than other methods.

Key words: depth sensor, Spatial-Temporal Interests Point（STIP）, feature combination；action recognition