Computer and Modernization

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Crowed Abnormal Detection Based on GLCM and Optical Flow

  

  1. School of Information Science and Technology, Xiamen University, Xiamen 361005, China
  • Received:2014-01-17 Online:2014-03-24 Published:2014-03-31

Abstract: Aiming at the problem of detecting the crowed abnormal event in the video surveillance system, this paper proposes an algorithm based on texture features and optional flow features, uses GLCM to compute the crowed density, then uses optical flow method to compute crowed motion vector. Experimental results show that the new algorithm can improve the performance of abnormally detection in crowed scences.

Key words:  video surveillance, algorithm, computer vision

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