Visual object tracking- classical and contemporary approaches

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作   者：

Ahmad ALI;  Abdul JALIL;  Jianwei NIU;  Xiaoke ZHAO;  Saima RATHORE;  Javed AHMED;  Muhammad AKSAM IFTIKHAR; 

作者机构：

Department of Computer and Information Sciences;  COMSATS Institute of Information Technology;  Department of Electrical (Telecom) Engineering;  State Key Laboratory of Virtual Reality Technology and Systems; 

关键词：

外观变化;  计算机视觉;  计算资源;  坐标位置;  组成部分;  目标跟踪;  古典;  安全系统; 

期刊名称：

中国计算机科学前沿(英文版)

i s s n：

2095-2228

年卷期：

2016 年 10 卷 001 期

页   码：

167-188

摘   要：

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.