Computer Science ›› 2015, Vol. 42 ›› Issue (6): 313-316.doi: 10.11896/j.issn.1002-137X.2015.06.066

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Camshift Tracking Algorithm Based on N-LBP Texture and Hue Information

XU Yi-ming, LU Guan and GU Ju-ping   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Color feature tracking algorithms are easily affected by non-homogenous illumination and shadow.How to construct target model with multiple features is a key question for improving tracking performance.A novel feature fusion target tracking algorithm was proposed in this paper.Illumination self-adaptive local standard deviation is introduced to the threshold for local binary pattern,the joint histogram is constructed by improved N-LBP texture descriptor in unified pattern and hue information,and the moving target tracking is conducted within Camshift algorithm framework.The tracking experiments with shadow interference show that the proposed algorithm can overcome the changes of illumination and has more robustness and stability with good real time performance compared with traditional Camshift algorithm.

Key words: Camshift(continuously adaptive mean shift) tracking,Local binary pattern,Feature fusion,Combined feature histogram

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