A traffic video background extraction algorithm based on image content sensitivity

  • Authors:

  • Bo Qin;Jingjing Wang;Jian Gao;Titi Pang;Fang Su

  • Affiliations:

  • Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Qingdao University of Science & Technology, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China

  • Venue:
  • ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
  • Year:
  • 2010

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Abstract

A Traffic Video Background Extraction Algorithm based on Image Content Sensitivity (CSBE) is presented in this paper. Different image has different Entropy Energy (EE), the algorithm analyzes the image's content according to it. Firstly, obtain the initial background image that has the least EE in the moving region through mixture Gaussian background modeling algorithm. Then, weight factor is selected dynamically by EE and the mixture Gaussian model (GMM) of every pixel in the current image is updated. Finally, every pixel's value in the background image is updated by weighted average. Experiments show that the method is simple, robust and well delays the occurrence time of the stationary vehicles in some degree. Especially, the processing effect is better for the condition that a number of vehicles into or out of the scene quickly.