Visual object tracking—classical and contemporary approaches

doi:10.1007/s11704-015-4246-3

Frontiers of Computer Science

2016, Vol. 10

Issue (1): 167-188 https://doi.org/10.1007/s11704-015-4246-3

本期目录

Visual object tracking—classical and contemporary approaches

Ahmad ALI¹,Abdul JALIL¹,Jianwei NIU^2,^*(

),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

全文: PDF(768 KB)

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.

Key words： visual object tracking computer vision image processing point tracking kernel tracking silhouette tracking

收稿日期: 2014-05-23 出版日期: 2016-01-06

Corresponding Author(s): Jianwei NIU

引用本文:

. [J]. Frontiers of Computer Science, 2016, 10(1): 167-188.
Ahmad ALI,Abdul JALIL,Jianwei NIU,Xiaoke ZHAO,Saima RATHORE,Javed AHMED,Muhammad AKSAM IFTIKHAR. Visual object tracking—classical and contemporary approaches. Front. Comput. Sci., 2016, 10(1): 167-188.

链接本文:

https://academic.hep.com.cn/fcs/CN/10.1007/s11704-015-4246-3
https://academic.hep.com.cn/fcs/CN/Y2016/V10/I1/167

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