DocumentCode
2542274
Title
Gait Recognition Based on Multi-Resolution Regional Shape Context
Author
Zhai, Yanbo ; Jia, Yulan ; Qi, Chun
Author_Institution
Telecommun. Inst., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, a gait recognition algorithm based on multi-resolution regional shape context is proposed. Taking binary silhouettes as input, according to human anatomy knowledge, some key joints on human body are selected, then the shape context which counts regional pixel with multi-resolution and different support region, is used to extract the environmental characteristics of these joints, finally their mean values are computed to reflect the static and dynamic information of gait. Experiment results on NLPR database show that the proposed algorithm has an encouraging performance.
Keywords
gait analysis; image resolution; shape recognition; statistical analysis; binary silhouette; gait recognition; human anatomy knowledge; human body; mean value; multiresolution regional shape context; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344061
Filename
5344061
Link To Document