NDLI: Power-Efficient Extensible Architecture for RFID-Assisted Multiple Target Tracking

Content Provider	IEEE Xplore Digital Library
Author	Ching-Hu Lu Wen-Hau Liao Chao-Lin Wu Li-Chen Fu
Copyright Year	2006
Description	Author affiliation: Nat. Taiwan Univ., Taipei (Ching-Hu Lu)
Abstract	Here we propose an extensible multiple target tracking architecture which utilizes RFID (Radio Frequency Identification) technology and cooperates with currently existing tracking sensors. Our proposed approach demands every individual sensor to predefine a confidence factor in advance, which allows us to track multiple targets simultaneously in a more accurate and power-efficient way. We have previously shown that a load sensory floor can non-intrusively keep track of residents' locations based on both their regular movement patterns and distinguishable features such as their weights; however, it generally becomes infeasible to simultaneously differentiate two or more residents with irregular movement patterns or similar weight measurements. With the assistance of active RFID tags, our proposed system can cope with these limitations and improve upon the tracking results of previous systems by fusing RFID-based correction signals with those from currently available sensors. Each sensor has to reckon its corresponding confidence factor which is later used in conjunction with the RFID signals to dynamically discriminate erroneous outputs from correct ones, meanwhile mitigating the power consumption issues inherent in RFID systems. Our experimental results, which comprise three scenarios having distinct irregular movement patterns, demonstrate the effectiveness of the architecture.
Starting Page	1068
Ending Page	1073
File Size	4691682
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384541
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Radiofrequency identification Sensor systems Intrusion detection RFID tags Energy consumption Chaos Computer science Intelligent sensors Cybernetics
Content Type	Text
Resource Type	Article

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