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Front. Comput. Sci.    2016, Vol. 10 Issue (1) : 167-188    https://doi.org/10.1007/s11704-015-4246-3
REVIEW ARTICLE
Visual object tracking—classical and contemporary approaches
Ahmad ALI1,Abdul JALIL1,Jianwei NIU2,*(),Xiaoke ZHAO2,Saima RATHORE1,Javed AHMED3,Muhammad AKSAM IFTIKHAR4
1. Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad 44000, Pakistan
2. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
3. Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad 44000, Pakistan
4. COMSATS Institute of Information Technology, Lahore 54000, Pakistan
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Abstract

Visual object tracking (VOT) is an important subfield of computer vision. It has widespread application domains,and has been considered as an important part of surveillance and security system. VOA facilitates finding the position of target in image coordinates of video frames.While doing this, VOA also faces many challenges such as noise, clutter, occlusion, rapid change in object appearances, highly maneuvered (complex) object motion, illumination changes. In recent years, VOT has made significant progress due to availability of low-cost high-quality video cameras as well as fast computational resources, and many modern techniques have been proposed to handle the challenges faced by VOT.This article introduces the readers to 1) VOT and its applications in other domains, 2) different issues which arise in it, 3) various classical as well as contemporary approaches for object tracking, 4) evaluation methodologies for VOT, and 5) online resources, i.e., annotated datasets and source code available for various tracking techniques.
Keywords visual object tracking      computer vision      image processing      point tracking      kernel tracking      silhouette tracking     
Corresponding Author(s): Jianwei NIU   
Just Accepted Date: 10 July 2015   Issue Date: 06 January 2016
 Cite this article:   
Ahmad ALI,Abdul JALIL,Jianwei NIU, et al. Visual object tracking—classical and contemporary approaches[J]. Front. Comput. Sci., 2016, 10(1): 167-188.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-015-4246-3
https://academic.hep.com.cn/fcs/EN/Y2016/V10/I1/167
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