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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
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
DOI10.1109/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
ISSN1522-4880
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
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.
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