Journal of Guangdong University of Technology ›› 2011, Vol. 28 ›› Issue (3): 87-91.

• Comprehensive Studies • Previous Articles     Next Articles

Detection of Moving Objects Based on the Gaussian Mixture Model and the Canny Operator

  

  1. 1.Department of Computer Science, Jiaying University, Meizhou 514000, China； 
    2.Faculty of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China；
    3.Faculty of Information, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
  • Online:2010-10-06 Published:2010-10-06

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Abstract: A method of detecting moving objects is proposed by combining the Gaussian mixture model with the canny operator. First, the Gaussian mixture model was employed to extract color information and to update the background information. Second, the canny operator was employed to extract edge information. Last, color information and part of area information were integrated for segmentation, which improved the ability to detect moving objects where edge information was distinct. An improved Gaussian mixture model and a traditional canny algorithm were employed in the experiment. Experimental results indicate that the proposed method is superior to the traditional Gaussian mixture model.

Key words: Gaussian mixture model, object detection, canny operator

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