Title :
Application of Gait Factor in Reducing Gait Interferences
Author :
Yixuan Long;Xin Chen;Jiaming Xu
Author_Institution :
Inf. Manage. &
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"
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN :
978-1-4799-8645-3
DOI :
10.1109/IHMSC.2015.147