Visual object tracking- classical and contemporary approaches

Visual object tracking （VOT） is an important sub- field of computer vision. It has widespread application do- mains, 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...

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Bibliographic Details
Published inFrontiers of Computer Science Vol. 10; no. 1; pp. 167 - 188
Main Authors ALI, Ahmad, JALIL, Abdul, NIU, Jianwei, ZHAO, Xiaoke, RATHORE, Saima, AHMED, Javed, AKSAM IFTIKHAR, Muhammad
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.02.2016
Springer Nature B.V
Subjects
Availability
Clutter
Computer Science
Computer vision
image processing
Internet resources
kernel tracking
Object motion
Occlusion
Optical tracking
point tracking
Review Article
Security systems
silhouette tracking
Source code
visual object tracking
古典
坐标位置
外观变化
安全系统
目标跟踪
组成部分
计算机视觉
计算资源
image processing
visual object tracking
kernel tracking
silhouette tracking
computer vision
point tracking
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Summary:Visual object tracking （VOT） is an important sub- field of computer vision. It has widespread application do- mains, 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 applica- tions 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.
Bibliography:visual object tracking, computer vision, imageprocessing, point tracking, kernel tracking, silhouette track-ing
Visual object tracking （VOT） is an important sub- field of computer vision. It has widespread application do- mains, 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 applica- tions 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.
11-5731/TP
Document received on :2014-05-23
image processing
silhouette tracking
computer vision
visual object tracking
kernel tracking
Document accepted on :2015-03-24
point tracking
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-015-4246-3