题名 | How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoint |
作者 | |
发表日期 | 2019-09-01 |
会议名称 | 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings |
会议录名称 | Proc. Int. Conf. Image Process. ICIP
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卷号 | 2019-September |
页码 | 3083-3087 |
会议日期 | September 22, 2019 - September 25, 2019 |
会议地点 | Taipei, Taiwan |
出版地 | NEW YORK |
出版者 | IEEE Computer Society |
摘要 | Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent. In this paper, visual tracking is empowered with wireless positioning to achieve high accuracy while maintaining robustness. Fundamentally different from the previous works, this study does not involve any specific wireless positioning algorithms. Instead, we use the confidence region derived from the wireless positioning Cramér-Rao bound (CRB) as the search region of visual trackers. The proposed framework is low-cost and very simple to implement, yet readily leads to enhanced and robustified visual tracking performance in difficult scenarios as demonstrated by our experimental results. Most importantly, it is utmost valuable for the practioners to pre-evaluate how effectively can the wireless resources available at hand alleviate the visual tracking pains. © 2019 IEEE. |
关键词 | confidence region Cramer-Rao bound Visual tracking wireless positioning |
DOI | 10.1109/ICIP.2019.8803301 |
URL | 查看原文 |
收录类别 | EI ; SCOPUS ; CPCI-S |
资助项目 | 国家自然科学基金项目 |
语种 | 英语 |
WOS研究方向 | Imaging Science & Photographic Technology |
WOS类目 | Imaging Science & Photographic Technology |
WOS记录号 | WOS:000521828603044 |
EI入藏号 | 20195207921800 |
原始文献类型 | Conference article (CA) ; Proceedings Paper |
一级学科 | 计算机科学技术 |
教育部统计归属 | 科技类 |
期刊发表范围 | 国外学术期刊 |
卷/期/页 | v 2019-September,p3083-3087 |
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来源库 | EI ; WOS |
Scopus记录号 | SCOPUS_ID:85076806242 |
SCOPUS学科分类 | Software;Computer Vision and Pattern Recognition;Signal Processing |
ISSN | 1522-4880 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://irepository.cuhk.edu.cn/handle/3EPUXD0A/772 |
专题 | 理工学院 |
作者单位 | 1.School of Science and Engineering, Chinese University of Hong Kong, Shenzhen; 518172, China 2.Shenzhen Institute of Artificial Intelligence and Robotics, Shenzhen, Guangdong; 518172, China |
第一作者单位 | 理工学院 |
推荐引用方式 GB/T 7714 | Hu, Panwen,Yan, Zizheng,Huang, Ruiet al. How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoint[C]. NEW YORK:IEEE Computer Society,2019:3083-3087. |
条目包含的文件 | |||||||
文件名称/大小 | 文献类型 | 附件类型 | 版本类型 | 开放类型 | 使用许可 | ||
How Effectively can (615KB) | 会议论文 | -- | 限制开放 | CC BY-NC-SA |
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