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Improved Adaptive Vibe and the Application for Segmentation of Complex Background

机译：改进的自适应氛围及其在复杂背景分割中的应用

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摘要

To solve the problems that basic Vibe algorithm cannot effectively eliminate the influence of background noise, follower shadow, and ghost under complex background effectively, an adaptive threshold algorithm, AdaVibe, based on the framework of basic Vibe is proposed. Aiming at the shortage of the basic algorithm, this paper puts forward some improvement measures in threshold setting, shadow eliminating, and ghost suppression. Firstly, judgment threshold takes adjustment with the changes of background. Secondly, a fast eliminating ghost algorithm depending on adaptive threshold is introduced. Finally, follower shadow is detected and inhibited effectively through the gray properties and texture characteristics. Experiments show that the proposed AdaVibe algorithm works well in complex environment without affecting computing speed and has stronger robustness and better adaptability than the basic algorithm. Meanwhile, the ghost and follower shadow can be absorbed quickly as well. Therefore, the accuracy of target detection is effectively improved.
机译：为解决基本Vibe算法不能有效消除复杂背景下背景噪声，跟随者阴影和重影的影响，提出了基于基本Vibe框架的自适应阈值算法AdaVibe。针对基本算法的不足，提出了阈值设置，阴影消除和重影抑制的一些改进措施。首先，判断阈值随着背景的变化而调整。其次，介绍了一种基于自适应阈值的快速消除重影算法。最终，通过灰色特性和纹理特征可以有效地检测和抑制跟随者阴影。实验表明，所提出的AdaVibe算法在复杂环境下工作良好，且不影响计算速度，比基本算法具有更强的鲁棒性和更好的适应性。同时，幽灵和跟随者的阴影也可以被快速吸收。因此，有效地提高了目标检测的准确性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|3835952.1-3835952.8|共8页
  • 作者

    Chang Le; Liu Zhenghua; Ren Yan;

  • 作者单位

    Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China;

    Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China|Beihang Univ, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China;

    Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China|Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China;

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