SIA OpenIR  > 工业控制网络与系统研究室
A Cell Reconstruction Tool to Deploy Binary Pyroelectric Sensor Arrays
Luo LX(罗龙祥)1; Xiao Y(肖杨)2; Liang W(梁炜)1; Zheng M(郑萌)1
Department工业控制网络与系统研究室
Corresponding AuthorXiao, Yang(yangxiao@ieee.org) ; Liang, Wei(weiliang@sia.cn)
Source PublicationIEEE Sensors Journal
ISSN1530-437X
2020
Volume20Issue:4Pages:2117-2131
Indexed BySCI ; EI
EI Accession number20200608120490
WOS IDWOS:000510901800047
Contribution Rank1
Funding OrganizationNational Key Research and Development Program of China under Grant 2017YFE0101300 ; National Natural Science Foundation of China under Grant 61673371 and Grant 71661147005 ; Internationa Partnership Program of Chinese Academy of Sciences under Grant 173321KYSB20180020 ; Liaoning Provincial Natural Science Foundation of China under Grant 2019-YQ-09
KeywordPyroelectric infrared (PIR) sensor array reference structure cell and signature shortest path ring
Abstract

Due to the advantages of being low cost and low power consumption, pyroelectric infrared sensors are widely employed in many applications, such as target location and tracking. In such applications, reference structure which is used to modulate views of binary sensors can help improve spatial resolutions by segmenting monitoring spaces into many cells which are identified by states (called signatures). A spatial resolution determines localization or tracking accuracy, which depends on the sizes, the shapes, and the signatures of the cells, and is drastically impacted by deployment of sensors and reference structure. However, in order to obtain a better deployment formation and a better spatial resolution, researchers have to spend lots of time to deploy and measure the deployment results of cells (such as their locations, sizes, shapes, and signatures), i.e., a huge amount of measurements which cost time and money in practice. Hence, in this paper, we propose a tool to visually and efficiently represent and analyze the deployment formation and spatial resolution. Generally, the location of a cell is represented by a list of vertices scattered in a cartesian coordinate system and can help researchers get its size, shape, and signature. A cell reconstruction algorithm is proposed to reconstruct cells generated by the deployment formation in which lists of vertices are generated by regarding cells as shortest path rings. We further provide some theoretical analysis and computational complexity analysis of the proposed algorithm. We conduct experiments using our tool to study sensor efficiency and spatial resolution easily and effectively.

Language英语
WOS SubjectEngineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS KeywordHUMAN TRACKING ; SYSTEM ; SIZE
WOS Research AreaEngineering ; Instruments & Instrumentation ; Physics
Funding ProjectNational Key Research and Development Program of China[2017YFE0101300] ; National Natural Science Foundation of China[61673371] ; National Natural Science Foundation of China[71661147005] ; International Partnership Program of Chinese Academy of Sciences[173321KYSB20180020] ; Liaoning Provincial Natural Science Foundation of China[2019-YQ-09]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26224
Collection工业控制网络与系统研究室
Corresponding AuthorLuo LX(罗龙祥)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Department of Computer Science, University of Alabama, Tuscaloosa, AL 110016, United States
Recommended Citation
GB/T 7714
Luo LX,Xiao Y,Liang W,et al. A Cell Reconstruction Tool to Deploy Binary Pyroelectric Sensor Arrays[J]. IEEE Sensors Journal,2020,20(4):2117-2131.
APA Luo LX,Xiao Y,Liang W,&Zheng M.(2020).A Cell Reconstruction Tool to Deploy Binary Pyroelectric Sensor Arrays.IEEE Sensors Journal,20(4),2117-2131.
MLA Luo LX,et al."A Cell Reconstruction Tool to Deploy Binary Pyroelectric Sensor Arrays".IEEE Sensors Journal 20.4(2020):2117-2131.
Files in This Item: Download All
File Name/Size DocType Version Access License
A Cell Reconstructio(2593KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo LX(罗龙祥)]'s Articles
[Xiao Y(肖杨)]'s Articles
[Liang W(梁炜)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo LX(罗龙祥)]'s Articles
[Xiao Y(肖杨)]'s Articles
[Liang W(梁炜)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo LX(罗龙祥)]'s Articles
[Xiao Y(肖杨)]'s Articles
[Liang W(梁炜)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A Cell Reconstruction Tool to Deploy Binary Pyroelectric Sensor Arrays.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.