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  2018, Vol. 31 Issue (1): 61-76    DOI: 10.16451/j.cnki.issn1003-6059.201801006
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Visual Object Tracking: A Survey
LU Huchuan1, LI Peixia1, WANG Dong1
1.School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024

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Abstract  

Online object tracking is a fundamental problem in computer vision and it is crucial to application in numerous fileds such as guided missile, video surveillance and unmanned aerial vehicle. Despite many studies on visual tracking, there are still many challenges during the tracking process including illumination variation, rotation, scale change, deformation, occlusion and camera motion. To make a clear understanding of visual tracking, visual tracking algorithms are summarized in this paper. Firstly, the meaning and the related work are briefly introduced. Secondly, the typical algorithms are classified, summarized and analyzed from two aspects: traditional algorithms and deep learning algorithms. Finally, the problems and the prediction of the future of visual tracking are discussed.

Key wordsObject Tracking      Correlation Filter      Deep Learning     
Received: 19 September 2017     
About author:: LU Huchuan, Ph.D., professor. His research interests include person re-identification, saliency detection and online visual tracking.LI Peixia, master student. Her research interests include visual tracking and deep learning.WANG Dong, Ph.D., associate professor. His research interests include face recognition, interactive image segmentation and object tracking.
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LU Huchuan
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LU Huchuan,LI Peixia,WANG Dong. Visual Object Tracking: A Survey[J]. , 2018, 31(1): 61-76.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201801006      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I1/61
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