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Human Verification in a Video Surveillance System Using Statistical Features

Authors: Sanpachai Huvanandana


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.

Keywords: Object recognition, Segmentation, Human verification, videounderstanding

Digital Object Identifier (DOI):

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