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Moving object detection based on TV based passive radar and its application to RFID cane
Xin Chen; Kam Weng Tam; Biao Chen
2017-11-09
Conference NameIEEE International Conference on RFID-Technology and Applications (RFID-TA)
Source Publication2017 IEEE International Conference on RFID Technology and Application, RFID-TA 2017
Pages220-224
Conference Date20-22 Sept. 2017
Conference PlaceWarsaw, Poland
Abstract

Moving object detection is very important in the development of smart city for Visually Impaired People (VIP). In this paper, we propose a new methodology to realize a moving object detection system from TV based on passive radar which is applied to RFID Intelligent Cane in future. Image comparison and detection methods are also applied to complete the detection system. The innovation of our detection system is about the system architecture of the 920MHz UHF RFID, 700MHz band analogue TV based passive radar, image comparison and machine learning algorithms to realize the practical moving object detection system for UHF RFID Cane.

KeywordImage Comparison Intelligent Cane Moving Object Detection Passive Radar Rfid
DOI10.1109/RFID-TA.2017.8098898
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000426937500041
Scopus ID2-s2.0-85040726577
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
AffiliationDepartment of Electrical and Computer Engineering University of Macau Macau SAR, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xin Chen,Kam Weng Tam,Biao Chen. Moving object detection based on TV based passive radar and its application to RFID cane[C], 2017, 220-224.
APA Xin Chen., Kam Weng Tam., & Biao Chen (2017). Moving object detection based on TV based passive radar and its application to RFID cane. 2017 IEEE International Conference on RFID Technology and Application, RFID-TA 2017, 220-224.
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