Gait Recognition via Flexible Measurement
We present a new gait identification method based on dynamic time warping (DTW), as video surveillance system requires high accuracy and precision. It could reduce computational cost of gait recognition, significantly improve the recognition rate for gait and meet the demand of video surveillance. The characters of human appearance have been utilized to extract entire binary image of human silhouette from video sequences, herein the centroid of silhouette is obtained. As the contour is unfolded clockwise, every video sequence could be converted to a normalized 1D (onedimension) distance. The DTW-based distance between probe sequences and standard ones has been calculated to compare with the threshold. Finally, the similarity is induced to identify human gait by DTW distance. The average accuracy improves to 92.8％ in gait recognition. Therefore, it is applicable for video surveillance in different scenarios.
gait recognition feature extraction dynamic time warping (DTW) video surveillance
Hao Zhang Haiyong Zhao Zhijing Liu Libin Du
School of Computer Science and Technology, Xidian University Institute of Oceanographic InstrumentationShandong Academy of SciencesQingdao, P.R.China
国际会议
哈尔滨
英文
311-315
2011-01-18（万方平台首次上网日期，不代表论文的发表时间）