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《Tactical Missile Technology》 2014-04
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Robust Real-time Object Tracking Based on Dictionary Learning

Zhou An;Jiang Hui;Yu Jingang;Tian Jinwen;College of Automation,Huazhong University of Science and Technology;Beijing Electro-mechanical Engineering Institute;  
Through the matching of scale-invariant visual features,satisfactory tracking results can usually be obtained. However,this approach computationally is very expensive. To overcome the challenging problem,a real-time object tracking method is presented based on feature matching. In the proposed approach,multi-scale translation and rotation invariant features are extracted to build a dictionary with good robustness. And then,the target is represented by coding under this dictionary. Finally,the tracking result is obtained by exhaustively searching for the one that best matches the target model among all the candidates. Experiment results show that this method can achieve real-time and robust tracking target.
【Fund】: 国家自然科学基金资助项目(61273279)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 ZHAO Jia-Jia1,TANG Zheng-Yuan1,YANG Jie1,LIU Er-Qi2,ZHOU Yue1(1.Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai 200240,China; 2.Institute of the Third Academy,CASIC,Beijing 100074,China);Infrared small target detection based on image sparse representation[J];Journal of Infrared and Millimeter Waves;2011-02
2 ZHANG Ji 1,2 , WANG Hongyuan 1,2 1. School of Information Science and Engineering, Changzhou University, Changzhou, Jiangsu 213164, China 2. Changzhou Key Laboratory for Process Perception and Interconnected Technology, Changzhou, Jiangsu 213164, China;Fast Sparse Coding Algorithm for Video Object Tracking[J];Journal of Frontiers of Computer Science & Technology;2012-08
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Cheng Gong Guo Lei Han Junwei Qian Xiaoliang(School of Automation,Northwestern Polytechnical University,Xi′an,Shaanxi 710072,China);Infrared Dim Small Target Detection Based on Morphological Band-Pass Filtering and Scale Space Theory[J];Acta Optica Sinica;2012-10
2 LI Zhi,ZHENG Jiang-bin(Dept.of Computer Science & Engineering,Northwestern Polytechnical University,Xi’an 710129,China);Tracking infrared small targets based on sparse representation models[J];Electronic Design Engineering;2013-10
3 CUI Xuan;XIN Yun-hong;School of Physics and Information Technology,Shaanxi Normal University;;An Effective Method in the Detection of Infrared Dim Target[J];Acta Photonica Sinica;2014-02
4 QIN Xiaoyan;YUAN Guanglin;XUE Mogen;Army Officer Academy of PLA;School of Computer and Information, Hefei University of Technology;;Infrared Small Object Detection via Sparse Representation Assisted by Ridge Regression[J];Opto-Electronic Engineering;2014-02
5 SUN Xin-dea,FANG Gui-zhenb,LI Ling-linga,BO Shu-kuia(a.Department of Computer Science and Application;b.Library,Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou 450015,China);Infrared Small Target Detection via Combination of Morphological Filtering and MRF Model[J];Computer Engineering;2012-14
6 SONG Chang-xin(Department of Computer,Qinghai Normal University,Xining 810008,China);New algorithm for infrared image segmentation based on clustering combined with sparse coding[J];Laser & Infrared;2012-11
7 BAO Jinyu,WANG Huibin,CHEN Zhe,SHEN Jie(Institute of Computer and Information,Hohai University,Nanjing Jiangsu 210000,China);Moving object detection based on background image set and sparse analysis[J];Journal of Computer Applications;2013-05
8 LI Zhao-xiang,LI Jing(Center of Internet,Heilongjiang East College,Harbin 150086,China);The Optimization of Video Stabilization' Sift Algorithm[J];Journal of Harbin University of Science and Technology;2013-02
9 HOU Jie,XIN Yun-hong(School of Physics and Information Technology,Shaanxi Normal University,Xi'an 710062,China);Detection of infrared small target based on the wavelet transformation and image enhancement technology[J];Laser & Infrared;2013-06
10 ZHOU Baotong;LI Chenglong;LUO Bin;TANG Jin;School of Computer Science and Technology, Anhui University;Key Lab of Industrial Image Processing & Analysis of Anhui Province;;Target Tracking Algorithm with Adaptive Window for Video Surveillance[J];Journal of Frontiers of Computer Science & Technology;2013-09
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