吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 304-308.doi: 10.13229/j.cnki.jdxbgxb201501044

• Orignal Article • Previous Articles     Next Articles

Single and interactive human behavior recognition algorithm based on spatio-temporal interest point

WANG Shi-gang,SUN Ai-meng,ZHAO Wen-ting,HUI Xiang-long   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2013-08-30 Online:2015-02-01 Published:2015-02-01

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Abstract: First, spatio-temporal interest points containing enough human motion information are detected, and a set of spatio-temporal interest points are selected based on the information of connectivity of human silhouettes. Then, the GMM clustering is performed on the points in the training set and the spatial-temporal words are generated. Finally, these spatial-temporal words are trained to obtain the GMM of each behavior for human behavior recognition. This algorithm can be applied both to single behavior recognition and to interactive behavior recognition. Experiment results on activity database show that this approach has a satisfactory identification rate of human activities.

Key words: communication, human action recognition, spatio-temporal interest point, Gaussian mixture model

CLC Number: 

  • TN911
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