Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (4): 933-937.doi: 10.3969/j.issn.1001-506X.2011.04.43

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Detection algorithm for moving objects based on Bayesian rules and optimized level projection

LIU Ying-xia1,2, CHANG Fa-liang1   

  1. 1． School of Control Science and Engineering, Shandong University, Jinan 250061, China;
    2． Shandong Communication and Media College, Jinan 250200, China
  • Online:2011-04-25 Published:2010-01-03

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Abstract:

In order to increase the accuracy of object detecting, a new method is proposed to select the threshold and clean out the noise when the moving objects are detected. Combined with the Bayesian rules and likelihood function, a dynamic and adaptive threshold is obtained. The level projection is processed based on the threshold and the noise is removed, the objects awaiting detection are obtained. The experimental result shows that the proposed method can overcome the contradiction between the de noising and integrity of the objects, and it can improve the effect of the light change and obtain a satisfactory detected result.

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