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《Infrared Technology》 2019-06
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Moving Target Tracking Algorithm Based on LBP and Kernel Correlation Filter

QI Yongfeng;WANG Mengyuan;College of Computer Science and Engineering, Northwest Normal University;  
A moving target tracking algorithm based on LBP(Local binary pattern) and kernel correlation filter is proposed for kernel correlation filter when the tracking instable under complex illumination. In the traditional algorithm the LBP processing method is added to reduce the effect of light on the feature extract,and then the accuracy of the acquisition of the target information in the tracking process is improved.Experiments show that compared with the classical kernel correlation filter tracking algorithm, the moving target tracking algorithm based on LBP and kernel correlation filter can significantly improve the tracking performance when facing complex illumination. It can be used in real time scene and is a stable target tracking algorithm.
【Fund】: 甘肃省高等学校科研项目(2016A-004)
【CateGory Index】: TP391.41;TN713
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