期刊
FRONTIERS OF COMPUTER SCIENCE
卷 10, 期 1, 页码 167-188出版社
HIGHER EDUCATION PRESS
DOI: 10.1007/s11704-015-4246-3
关键词
visual object tracking; computer vision; image processing; point tracking; kernel tracking; silhouette tracking
类别
资金
- National Natural Science Foundation of China [61572060, 61170296, 61190125]
- R&D Program, PIEAS [2013BAH35F01]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据