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

• 软件、算法与仿真 • 上一篇    下一篇

基于贝叶斯准则水平投影优化的目标检测算法

刘英霞1,2, 常发亮1   

  1. 1. 山东大学控制科学与工程学院, 山东 济南 250061; 
    2. 山东传媒职业学院, 山东 济南 250200
  • 出版日期:2011-04-25 发布日期:2010-01-03

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

摘要:

为了进一步提高跟踪系统中目标检测的精准性,适应不同的环境变化,对检测阈值的选取和图像的去噪提出了新的算法。结合似然函数和贝叶斯判别准则理论,根据信号和噪声的统计分布规律,得到一个自适应的动态阈值。利用该阈值对二值化图像的水平投影进行优化处理,去除噪声,得到待检测的目标。实验结果表明,该方法克服了目标完整性和抑制噪声之间的矛盾,可以有效地改善光线变化带来的噪声影响,在不同的场景情况下都可以得到满意的检测结果。

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.