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《Computer Engineering》 2017-07
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Realtime Fusion Tracking for Infrared and Visible Light Targets Based on L1-APG

MA Haifei;ZHANG Canlong;LI Zhixin;Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing,Guangxi Normal University;Guangxi Experiment Center of Information Science,Guilin University of Electronic Technology;  
Aiming at the poor tracking performance problem of using single sensor in complex background,a fusion tracking algorithm for infrared-visible targets based on sparse representation and L1-APG is proposed. Firstly,the target models of infrared and visible light are built respectively by using sparse representation method,and the optimization problem is constructed by minimizing their joint reconstruction error. Secondly,the optimization problem is solved by employing L1-APG algorithm. Finally,the computational complexity of the algorithm is further reduced by using the minimum error boundary constraint,and dynamic updates of the infrared and visible target templates are achieved. Test results of infrared and visible image sequences demonstrate that the proposed algorithm performs better than the traditional single source tracking algorithm in dealing with target occlusion,target rotation,target intersection,and illumination change.
【Fund】: 国家自然科学基金(61365009 61462008 61663004);; 广西自然科学基金(2014GXNSFAA118368 2013GXNSFAA019336 2016GXNSFAA380146)
【CateGory Index】: TP212;TP391.41
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