TY - GEN
T1 - Towards robust device-free passive localization through automatic camera-assisted recalibration
AU - Xu, Chenren
AU - Gao, Mingchen
AU - Firner, Bernhard
AU - Zhang, Yanyong
AU - Howard, Richard
AU - Li, Jun
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Automatic recalibration
KW - Computer vision
KW - Device-free passive localization
KW - Linear discriminant analysis
KW - Rss fingerprint
UR - https://www.scopus.com/pages/publications/84873430129
U2 - 10.1145/2426656.2426697
DO - 10.1145/2426656.2426697
M3 - Conference contribution
SN - 9781450311694
T3 - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
SP - 339
EP - 340
BT - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
T2 - 10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
Y2 - 6 November 2012 through 9 November 2012
ER -