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《Computer Simulation》 2013-08
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The models and Methods of Video Image Enhancement and Moving Target Tracking in Fog

ZHONG Jin1,2,WU Hao1(1.Department of Computer Science and Technology,Hefei Normal University,Hefei Anhui 230601,China;2.School of Computer and Information,Hefei University of Technology,Hefei Anhui 230009,China)  
About multi-objective optimization problem detection for video image.Aim at foggy day video image target feature and the background constantly changing.The problem of the fog image degradation into a non-linear relationship with the scene depth question.Proposed for accurately complete real-time background modeling framework for image clarity methods of fog moving target detection.And create a new target tracking mathematical model and corresponding method with incremental learning ability.To accommodate tracking process of tget feature and the background changing.Building a kind of robust object tracking algorithm with incremental learning capability.Improved method effective solution to the moving target tracking robustness in foggy conditions.
【Fund】: 国家科技支撑计划项目2012 BAI34 B00(Grant No.2012BAI34B00);; 安徽高校省级自然科学研究一般项目(KJ2012Z325)
【CateGory Index】: TP391.41
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