Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (1): 69-73.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Real-Time Motion Detection Model Using Block-Based Statistical Moment

Lü Chang-kui  Wang Ning-sheng  Xu Yan   

  1. CIMS Engineering Center, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
  • Received:2007-12-12 Revised:2008-05-15 Online:2009-01-25 Published:2009-01-25
  • Contact: 吕常魁（1971-），男，博士，副教授，主要从事机器视觉及工业应用研究． E-mail:maillck@yahoo．com.cn
  • About author:吕常魁（1971-），男，博士，副教授，主要从事机器视觉及工业应用研究．
  • Supported by:

    国家“863”/CIMS重点应用示范工程项目（863-511-930-009）

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Abstract:

In order to improve the robustness of real-time motion detection systems, a variation coefficient is used to calculate the block-based statistical moment, to describe the variations of frame sequences, and the colinearity test is employed to obtain the maximum likelihood estimation of the variation coefficient. Then, based on the maximum likelihood ratio of the variation coefficient of successive blocks, a novel three-frame difference motion detection model is established. Experimental results indicate that the proposed model is suitable for the detection of whole silhouette of a moving object and is robust to the gradual illumination change, the shadow and the background vacillation, etc.

Key words: motion detection, color moment, variation coefficient, colinearity test