@article{(Open Science Index):https://publications.waset.org/pdf/3377,
	  title     = {Detection and Pose Estimation of People in Images},
	  author    = {Mousa Mojarrad and  Amir Masoud Rahmani and  Mehrab Mohebi},
	  country	= {},
	  institution	= {},
	  abstract     = {Detection, feature extraction and pose estimation of
people in images and video is made challenging by the variability of
human appearance, the complexity of natural scenes and the high
dimensionality of articulated body models and also the important
field in Image, Signal and Vision Computing in recent years. In this
paper, four types of people in 2D dimension image will be tested and
proposed. The system will extract the size and the advantage of them
(such as: tall fat, short fat, tall thin and short thin) from image. Fat
and thin, according to their result from the human body that has been
extract from image, will be obtained. Also the system extract every
size of human body such as length, width and shown them in output.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {1},
	  year      = {2009},
	  pages     = {192 - 197},
	  ee        = {https://publications.waset.org/pdf/3377},
	  url   	= {https://publications.waset.org/vol/25},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 25, 2009},
	}