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《Opto-Electronic Engineering》 2010-01
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Tracking and Detection of Moving Infrared Multi-target in Complex Dynamic Background

SHI Wen-jun1,WANG Deng-wei2,XU Hai-quan1,WANG Hao1 ( 1. Graduate Students Brigade of Naval Aeronautical and Astronautical University,Yantai 264001,Shandong Province,China; 2. Pattern Recognition and Intelligent System,Huazhong University of Science and Technology,Wuhan 430074,China )  
An efficient approach based on wavelet transform is presented to detect the variation degree of dynamic background. Firstly,some candidate regions can be obtained by processing IR data through wavelet transform,then the degree of the difference between current and referenced background can be judged through detecting the difference of the above feature regions. Finally,some small moving candidate targets can be detected by eliminating background. After eliminating background,data association and robust tracking of those targets can be realized by level set tracking method based on region-based active contour with dynamic priors. Dynamic priors include shape descriptor,intensity information,moving features and etc. In addition,targets' merging and splitting phenomena occasionally arise during multi-target tracking. This problem can be solved by 'memorizing and filling'. The proposed approach is validated to track multi-target effectively by using actual infrared image sequences with complex dynamic background. Experiment results indicate the feasibility and effectiveness of the proposed method.
【Fund】: 国家自然科学基金资助项目(60736010)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 MA Chao-jie,YANG Hua,LI Xiao-xia,LING Yong-shun,WU Dan,WANG Jing-wen ( Key Lab of Infrared and Low Temperature Plasma of Anhui Province, Electronic Engineering Institute, Hefei 230037, China );Multi-target Segmentation in Multi-sensor Images in Complex Scenes[J];Opto-Electronic Engineering;2009-01
【Co-citations】
Chinese Journal Full-text Database 1 Hits
1 DONG Jian-yuan HAO Chong-yang(Institute of Electronic and Information Engineering,Northwestern Polytechnical University,Xi'an 710072,China);Review of Statistical Shape Prior-based Level Set Image Segmentation[J];Computer Science;2010-01
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