目标跟踪算法综述

doi:10.16451/j.cnki.issn1003-6059.201801006

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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 words： Object 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,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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