Author(s)

Wei Xiong

Corresponding Author

Wei Xiong

ABSTRACT

Gait recognition technology has been well applied in many fields, and has become the representative of the second generation of biometric recognition technology, which promotes the development of pattern recognition, signal processing and other fields. The key of gait recognition is to find the proper gait features and classification methods, so as to improve the accuracy of gait recognition. In this paper, for the five gait of upstairs, downstairs, uphill, downhill and flat ground walking, we collect the multi-source information, and propose to utilize MKRVM to build gait recognition algorithm. Through the comparison of recognition accuracy results by different classifiers, it shows that MKRVM algorithm has higher recognition rate than single kernel SVM and RVM.

KEYWORDS

Gait recognition; Mkrvm; Multi-source informaiton