Integrating Low-Resolution Surveillance Camera and Smartphone Inertial Sensors for Indoor Positioning
2018
会议录名称2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS)
ISSN2153-3598
页码410-416
发表状态已发表
DOI10.1109/PLANS.2018.8373408
摘要Indoor positioning techniques for pedestrians are the keys to the location-based services (LBSs) for human beings. Accuracy, overhead and ease of use are most noteworthy to evaluate an indoor positioning system. In this paper we present a novel indoor positioning system that integrates widely distributed low-resolution surveillance cameras and smartphone inertial sensors, which are perfect devices to build a system with low cost and high ease of use. Our proposed system receives video sequence from the surveillance camera and locates the pedestrians in the video view. The target pedestrian is recognized out of the crowd by matching the features from its smartphone inertial sensors with the pedestrian features extracted from the video sequence. We also apply a CNN-based visual object tracking algorithm to handle the situation that the target pedestrian is partly blocked in the video sequence. Our experimental results show that high positioning accuracy (at centimeter level) can be achieved. We also compare the other aspects of our technique against the state-of-art indoor positioning techniques, and show its superiority in many aspects.
关键词indoor positioning visual tracking surveillance camera smartphone
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点Monterey, CA
会议日期23-26 April 2018
URL查看原文
收录类别CPCI ; CPCI-S ; EI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000435257800053
出版者IEEE
EI入藏号20182605370249
EI主题词Cameras ; Indoor positioning systems ; Inertial navigation systems ; Location ; Location based services ; Monitoring ; Smartphones ; Telecommunication services ; Video recording
EI分类号Telecommunication; Radar, Radio and Television:716 ; Television Systems and Equipment:716.4 ; Telephone Systems and Equipment:718.1 ; Photographic Equipment:742.2 ; Accidents and Accident Prevention:914.1
WOS关键词SYSTEM
原始文献类型Proceedings Paper
来源库IEEE
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://kms.shanghaitech.edu.cn/handle/2MSLDSTB/27373
专题信息科学与技术学院
信息科学与技术学院_PI研究组_周平强组
信息科学与技术学院_硕士生
通讯作者Zhang, Jiuxin
作者单位
ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Zhang, Jiuxin,Zhou, Pingqiang. Integrating Low-Resolution Surveillance Camera and Smartphone Inertial Sensors for Indoor Positioning[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:410-416.
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