• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (07): 1352-1356.

• 论文 • Previous Articles     Next Articles

Moving objects realtime detection algorithm
based on the improved background subtraction       

XU Weihong,YAN Jinguo   

  1. (College of Computer & Communication Engineering,
    Changsha University of Science and Technology,Changsha 410114,China)
  • Received:2013-01-17 Revised:2014-04-27 Online:2014-07-25 Published:2014-07-25

Abstract:

The traditional mixture Gaussian models require much computation and have little clarity of objects’ contours. Therefore, a new moving objects realtime detection algorithm is proposed. Firstly, the threeframedifferencing method is introduced in the algorithm in order to improve the contours’ clarity of detection objects. Secondly, the computation is reduced by block processing in the Gaussian mixture models on HSI, so the realtime performance of the algorithm is improved. Thirdly, the threeframedifferencing method and the adaptive Gaussian mixture model on HSI are merged by logic computation so as to extract background efficiently. Finally, the detection result is optimized further by the mathematical morphology. The experimental results show the new algorithm can detect the moving objects in the surveillance video sequences faster and more accurately than the classic mixture Gaussian models and improve the clarity of objects’ contours.

Key words: moving object real-time detection;block processing;Gaussian mixture model on HSI;three-frame-differencing;clarity of objects&rsquo, contours