Paper Info
Title
Frogeye: Perception of the slightest tag motion
Abstract
Existing methods in RFID systems often employ presence or absence fashion to detect the tags' motions, so they cannot meet motion detection requirement in many applications. Our recent observations suggest that the signal strength backscattered from the tag is hypersensitive to its position, inspiring us to perceive the tag motion through its radio signal strength changes. Motion perception is not trivial and challenged by weak stability of strength in that any other interference or noise may incur significant changes as well, resulting in high false positives. To tackle this issue, we propose to model the strength via the Mixture of Gaussian Model (MoG). The problem is thus converted to foreground segment in computer vision with the help of Strength Image, where the technique of MoG based background subtraction is employed. We then implement a prototype using commercial off-the-shelf products. The evaluation results show that the slightest tag motion (~ 10cm) can be precisely perceived, and the accuracy is up to 92.34% while the false positive is suppressed under 0.5%.
Year
DOI
Venue
2014
10.1109/INFOCOM.2014.6848215
INFOCOM
Keywords
Field
DocType
mixture of gaussian model,frogeye,motion perception,background substruction,rfid system,mog based background subtraction,mixture models,motion detection,radio signal strength,radiofrequency identification,gaussian processes,commercial off-the-shelf products,signal strength backscattering,rfid
Background subtraction,Computer vision,Motion detection,Computer science,Motion perception,Gaussian network model,Artificial intelligence,Interference (wave propagation),Subtraction,Perception,False positive paradox
Conference
ISSN
Citations 
PageRank 
0743-166X
16
0.81
References 
Authors
23
6
Name
Order
Citations
PageRank
Lei Yang177848.19
Yong Qi261059.72
Jianbing Fang3160.81
Xuan Ding4735.36
tianci liu51477.04
Mo Li62324106.92