吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1325-1329.doi: 10.13229/j.cnki.jdxbgxb201604044

• Orginal Article • Previous Articles     Next Articles

Moving object detection algorithm based on frame difference and background subtraction

SUN Ting1, 2, QI Ying-chun2, GENG Guo-hua1   

  1. 1.Institute of Visualization Technology,Northwest University,Xi'an 710069,China;
    2.School of Computer Science and Technology,Zhoukou Normal University,Zhoukou 466001,China
  • Received:2015-04-21 Online:2016-07-20 Published:2016-07-20

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Abstract: In order to overcome the defects of frame difference and background subtraction algorithms in moving object detection, a new method that integrates the two algorithms is proposed. First, when the Gaussian mixture model is employed to build the background model, the update of the variance is modified, so the model is more close to the real background. Then, two consecutive frame differencing is replaced by three consecutive frame differencing, and the differencing threshold is adaptive. Finally, the results of the two differences are integrated and the target is extracted after morphological process. Experimental results show that the method can effectively suppress noise and the "hole", the method is more adaptable and has good detection results.

Key words: communications, frame difference, background subtraction, object detection, integration

CLC Number: 

  • TN91
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