Paper Info
Title
Towards robust device-free passive localization through automatic camera-assisted recalibration
Abstract
Device-free passive localization (DfP) techniques can localize human subjects without wearing a radio tag. Being convenient and private, DfP can find many applications in ubiquitous/pervasive computing. Unfortunately, DfP techniques need frequent manual recalibration of the radio signal values, which can be cumbersome and costly. We present SenCam, a sensor-camera collaboration solution that conducts automatic recalibration by leveraging existing surveillance camera(s). When the camera detects a subject, it can periodically trigger recalibration and update the radio signal data accordingly. This technique requires camera access occasionally each month, minimizing computational costs and reducing privacy concerns when compared to localization techniques solely based on cameras. Through experiments in an open indoor space, we show that this scheme can retain good localization results while avoiding manual recalibration.
Year
DOI
Venue
2012
10.1145/2426656.2426697
SenSys
Keywords
Field
DocType
radio signal value,automatic recalibration,automatic camera-assisted recalibration,existing surveillance camera,dfp technique,manual recalibration,robust device-free passive localization,radio signal data,device-free passive localization,frequent manual recalibration,camera access,good localization result,computer vision,linear discriminant analysis
Computer vision,Computer science,Real-time computing,Surveillance camera,Artificial intelligence,Ubiquitous computing,Linear discriminant analysis,Radio signal
Conference
Citations 
PageRank 
References 
12
0.69
3
Authors
6
Name
Order
Citations
PageRank
Chenren Xu151336.00
Mingchen Gao257925.95
Bernhard Firner349423.49
Yanyong Zhang43116184.08
Richard Howard531125.10
Jun Li61076.38