An Optical-flow based Segmentation Algorithm for Gait Recognition
The quality of human silhouettes has a direct effect on gait recognition performance. This paper proposes a robust gait representation scheme to suppress the influence of silhouette incompleteness. By means of dividing the human body into regions in a video sequence of several subregions, representing each sub-region through an ellipse whose parameters can be calculated from the corresponding motion information extracted from optical flow field, by which a new body structure model called multi-linked ellipse model is established. In the recognition stage, the parameters of the model are finally used to achieve gait recognition based on dynamic time warping technology. Experimental results prove the higher performance of our method.
Gait recognize silhouettes optical flow ellipse model DTW (dynamic time warping)
Yanqun XU Yi Dai
Nan Yang Institute of Technology, Henan, 4730042 Xian Jiao Tong University, ShanXi, China Southwest University, Chongqing, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
324-328
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）