Human Posture Recognition Method Based on Multiple Classifiers

Abstract

Abstract:

Abstract: To get an accurate body posture recognition result and meet the needs of intelligent video surveillance, we present a fusion of Hu invariant moments and Fourier descriptors characteristics of human posture recognition algorithm. The ReliefF feature selection algorithm is introduced into the process, for distinguishing the importance of characteristics. Voting mechanism of using multiple classifier is constructed with large numbers to vote, plays good advantages of the various classifiers to improve the recognition accuracy. Finally, experimental results show that the proposed algorithm achieves good classification results for various postures.

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Key words:

Key words: posture recognition, Hu invariant moments, Fourier descriptors, multiple classifier

CLC Number:

TP391

CHEN Huijie, XIE Yixiong. Human Posture Recognition Method Based on Multiple Classifiers[J]. Computer and Modernization, 2014, 0(4): 64-68.

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