CASIA OpenIR  > 智能感知与计算研究中心
Reducing the Effect of Noise on Human Contour in Gait Recognition
Shiqi Yu; Kaiqi Huang; Tieniu Tan
2007
Conference NameIEEE International Conference on Image Processing, 2007
Source PublicationIEEE International Conference on Image Processing, 2007
Pages338-346
Conference Date2007-09-01
Conference Place San Antonio, Texas, USA
AbstractGait 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.
KeywordHuman Contour In Gait Recognition
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12720
Collection智能感知与计算研究中心
Corresponding AuthorKaiqi Huang
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Shiqi Yu,Kaiqi Huang,Tieniu Tan. Reducing the Effect of Noise on Human Contour in Gait Recognition[C],2007:338-346.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shiqi Yu]'s Articles
[Kaiqi Huang]'s Articles
[Tieniu Tan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shiqi Yu]'s Articles
[Kaiqi Huang]'s Articles
[Tieniu Tan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shiqi Yu]'s Articles
[Kaiqi Huang]'s Articles
[Tieniu Tan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.