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    STUDIA INFORMATICA - Issue no. 2 / 2010  
         
  Article:   ACTION RECOGNITION USING DTW AND PETRI NETS.

Authors:  . 		 
       
         
  Abstract:  This paper proposes a new approach for recognition in monocular video the human behavior sequence. We use a simple to complex approach in action recognition by decomposing it to its basic elements. The human body parts motions are tracked and classified individually. The body parts motions are matched using an adapted Dynamic Time Warping (DTW) method, an approximation of DTW algorithm that has linear time and space complexity. The adapted DTW uses a three step approach and in the second step we may eliminate the most of the incorrect template which reduces the time for comparing the entire template database. The results of the DTW matching are used to activate hierarchical Petri Nets used to classify the behavior.

Key words and phrases. Behavior recognition, DTW, Petri Nets.
  
         
     
         
         
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