@article{(Open Science Index):https://publications.waset.org/pdf/10004913,
	  title     = {Human Action Recognition System Based on Silhouette},
	  author    = {S. Maheswari and  P. Arockia Jansi Rani},
	  country	= {},
	  institution	= {},
	  abstract     = {Human action is recognized directly from the video sequences. The objective of this work is to recognize various human actions like run, jump, walk etc. Human action recognition requires some prior knowledge about actions namely, the motion estimation, foreground and background estimation. Region of interest (ROI) is extracted to identify the human in the frame. Then, optical flow technique is used to extract the motion vectors. Using the extracted features similarity measure based classification is done to recognize the action. From experimentations upon the Weizmann database, it is found that the proposed method offers a high accuracy.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {11},
	  year      = {2015},
	  pages     = {2390 - 2394},
	  ee        = {https://publications.waset.org/pdf/10004913},
	  url   	= {https://publications.waset.org/vol/107},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 107, 2015},
	}