improved adaptive vibe and the application for segmentation of complex background

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ID: 211787
2016
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Abstract
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.
Reference Key
chang2016mathematicalimproved Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Le Chang;Zhenghua Liu;Yan Ren
Journal journal of power sources
Year 2016
DOI
10.1155/2016/3835952
URL
http://dx.doi.org/10.1155/2016/3835952
Keywords
civil engineering (general)mathematics engineering (general)

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