journal6 ›› 2014, Vol. 35 ›› Issue (3): 37-43.DOI: 10.3969/j.issn.1007-2985.2014.03.009

• Computer • Previous Articles     Next Articles

Recognition of Human Behavior Based on Chaos Invariant and Relevance Vector Machine

DAI  Zhi-Qiang, DONG  Jian-Feng   

  1. (College of Tourism and Management Engineering,Jishou University,Zhangjiajie 427000,Hunan China)
  • Online:2014-05-25 Published:2014-07-05

Abstract: An algorithm is put forward for the recognition of human behavior based on chaos invariant characteristics and relevance vector machine(RVM).First,the motion track generated by the joints of human is extracted to represent the nonlinear system of human movement behavior   and C-C method is used to estimate the delay to obtain the dimension of phase space reconstituted by every motion track.Furthermore,the chaos invariant which represents human behavior is extracted from the phase space and RVM algorithm is used to recognize human behavior.Finally KTH,Weizmann human behavior database and ballet database are applied to test the effect of the algorithm,and the result proves that this method has the better recognition effect than others.

Key words: chaos system, behavior recognition, chaos invariant, RVM

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