A gait recognition method based on silhouette areas of multi-regions is proposed. Firstly, the detected human silhouette is divided into five sub-regions in the video sequence. Then, the silhouette area features of each sub-region are extracted and the changing features in the gait sequence are computed. Therefore, the gait feature vectors can be constructed. Finally, experimental results show that the proposed approach is valid and has encouraging recognition performance.
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