@article{(Open Science Index):https://publications.waset.org/pdf/3907,
	  title     = {Belief Theory-Based Classifiers Comparison for Static Human Body Postures Recognition in Video},
	  author    = {V. Girondel and  L. Bonnaud and  A. Caplier and  M. Rombaut},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents various classifiers results from a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squatting, and lying. The three classifiers considered are a naïve one and two based on the belief theory. The belief theory-based classifiers use either a classic or restricted plausibility criterion to make a decision after data fusion. The data come from the people 2D segmentation and from their face localization. Measurements consist in distances relative to a reference posture. The efficiency and the limits of the different classifiers on the recognition system are highlighted thanks to the analysis of a great number of results. This system allows real-time processing.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {1078 - 1081},
	  ee        = {https://publications.waset.org/pdf/3907},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},
	}