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Reducing the Effect of Noise on Human Contour in Gait Recognition
Shiqi Yu; Kaiqi Huang; Tieniu Tan
2007
会议名称IEEE International Conference on Image Processing, 2007
会议录名称IEEE International Conference on Image Processing, 2007
页码338-346
会议日期2007-09-01
会议地点 San Antonio, Texas, USA
摘要Gait can be easily acquired at a distance, so it has become a popular biometric especially in intelligent visual surveillance. In gait-based human id en- tification there are many factors that may degrade the performance, an d noise on human contours is a significant one because to extract contours perfe ctly is a hard problem especially in a complex background. The contours extracted from video sequences are often polluted by noise. To improve the performance, we have to reduce the effect of noise. Different from the methods which use dynamic time warping (DTW) in previous work to match sequences in the time domain, a DTW- based contour similarity measure in the spatial domain is proposed to reduce the effect of noise. The experiments on a large gait database show the effectiveness of the proposed method.
关键词Human Contour In Gait Recognition
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12720
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
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Shiqi Yu,Kaiqi Huang,Tieniu Tan. Reducing the Effect of Noise on Human Contour in Gait Recognition[C],2007:338-346.
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