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Liang Xuan
Lanzhou University of Technology

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Anti-Occlusion Algorithm for Object Tracking Based On Multi-Feature Fusion Jie Cao; Liang Xuan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7381-7388

Abstract

Complex background, especially when the object is similar to the background in color or the target get blocked, can easily lead to tracking failure. Therefore, a fusion algorithm based on features confidence and similarity was proposed, it can adaptively adjust fusion strategy when occlusion occurs. And this confidence is used among occlusion detection, to overcome the problem of inaccurate occlusion determination when blocked by analogue. The experimental results show that the proposed algorithm is more robust in the case of the cover，but also has good performance under other complex scenes.
Co-Authors Jie CAO