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Visual object tracking- classical and contemporary approaches 被引量:10
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作者 Ahmad ALI Abdul JALIL +4 位作者 Jianwei NIU Xiaoke ZHAO saima rathore Javed AHMED Muhammad AKSAM IFTIKHAR 《Frontiers of Computer Science》 SCIE EI CSCD 2016年第1期167-188,共22页
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 ... 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. 展开更多
关键词 visual object tracking computer vision IMAGEPROCESSING point tracking kernel tracking silhouette track-ing
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