DocumentCode :
3696204
Title :
Application of Gait Factor in Reducing Gait Interferences
Author :
Yixuan Long;Xin Chen;Jiaming Xu
Author_Institution :
Inf. Manage. &
Volume :
2
fYear :
2015
Firstpage :
103
Lastpage :
107
Abstract :
With the development of gait recognition, there has been increasing interest in applying gait recognition systems to real life situations. Current gait feature matching methods have high computational cost and low robustness for interferences. This paper presents a novel and efficient matching algorithm for gait feature matching. Practical results show the effectiveness of these approaches to make gait matching unsensitive to interferences, more feasible, reliable and efficient than traditional matching methods.
Keywords :
"Feature extraction","Accuracy","Databases","Gait recognition","Hidden Markov models","Artificial neural networks","Gravity"
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN :
978-1-4799-8645-3
Type :
conf
DOI :
10.1109/IHMSC.2015.147
Filename :
7334928
Link To Document :
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