| 基于深度学习的目标跟踪技术的研究综述 |
| |
| 引用本文： | 罗元,肖航,欧俊雄.基于深度学习的目标跟踪技术的研究综述[J].半导体光电,2020,41(6):757-767. |
| |
| 作者姓名： | 罗元 肖航 欧俊雄 |
| |
| 作者单位： | 重庆邮电大学 光电工程学院, 重庆 400065 |
| |
| 基金项目： | 国家自然科学基金项目(61801061)；重庆市教委科技项目(KJQN201800607).通信作者:罗元E-mail:luoyuan@cqupt.edu.cn |
| |
| 摘 要： | 深度学习技术在计算机视觉领域的应用日趋广泛,基于深度学习的目标跟踪技术是当前计算机视觉领域的一项重要研究课题。文章首先对国内外目标跟踪技术的发展历程进行了回顾和梳理,详细介绍并对比了部分典型的基于深度学习的目标跟踪方法；然后介绍了几种目标跟踪领域的典型数据集；最后对基于深度学习的目标跟踪技术的研究进行了总结,并对未来的发展方向进行了展望。
|
| 关 键 词： | 深度学习 计算机视觉 目标跟踪 |
| 收稿时间： | 2020/6/28 0:00:00 |
Research on Target Tracking Technology Based on Deep Learning |
| |
| LUO Yuan,XIAO Hang,OU Junxiong.Research on Target Tracking Technology Based on Deep Learning[J].Semiconductor Optoelectronics,2020,41(6):757-767. |
| |
| Authors: | LUO Yuan XIAO Hang OU Junxiong |
| |
| Affiliation: | College of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, CHN |
| |
| Abstract: | The application of deep learning technology in the field of computer vision is becoming more and more extensive, and the target tracking technology based on deep learning is an important research topic in the field of computer vision. In this paper, firstly, the development process of target tracking technology at home and abroad is reviewed, and some typical target tracking methods based on deep learning are introduced in detail and compared; then, several typical data sets in the field of target tracking are summarized; finally, the research progress of the target tracking technology are summarized, and the future development directions are prospected. |
| |
| Keywords: | deep learning computer vision target tracking |
|
| 点击此处可从《半导体光电》浏览原始摘要信息 |
|
点击此处可从《半导体光电》下载全文 |
|
