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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 3835952, 8 pages
Research Article

Improved Adaptive Vibe and the Application for Segmentation of Complex Background

1School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
2Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China
3School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China

Received 12 January 2016; Revised 17 February 2016; Accepted 19 April 2016

Academic Editor: Daniel Zaldivar

Copyright © 2016 Le Chang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.