WASET
	%0 Journal Article
	%A Sanpachai Huvanandana
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 22, 2008
	%T Human Verification in a Video Surveillance System Using Statistical Features
	%U https://publications.waset.org/pdf/3077
	%V 22
	%X A human verification system is presented in this
paper. The system consists of several steps: background subtraction,
thresholding, line connection, region growing, morphlogy, star
skelatonization, feature extraction, feature matching, and decision
making. The proposed system combines an advantage of star
skeletonization and simple statistic features. A correlation matching
and probability voting have been used for verification, followed by a
logical operation in a decision making stage. The proposed system
uses small number of features and the system reliability is
convincing.
	%P 3432 - 3435