Paper Info
Title
SCPL: Indoor device-free multi-subject counting and localization using radio signal strength
Abstract
Radio frequency based device-free passive (DfP) localization techniques have shown great potentials in localizing individual human subjects, without requiring them to carry any radio devices. In this study, we extend the DfP technique to count and localize multiple subjects in indoor environments. To address the impact of multipath on indoor radio signals, we adopt a fingerprinting based approach to infer subject locations from observed signal strengths through profiling the environment. When multiple subjects are present, our objective is to use the profiling data collected by a single subject to count and localize multiple subjects without any extra effort. In order to address the non-linearity of the impact of multiple subjects, we propose a successive cancellation based algorithm to iteratively determine the number of subjects. We model indoor human trajectories as a state transition process, exploit indoor human mobility constraints and integrate all information into a conditional random field (CRF) to simultaneously localize multiple subjects. As a result, we call the proposed algorithm SCPL - sequential counting, parallel localizing. We test SCPL with two different indoor settings, one with size 150 m2 and the other 400 m2. In each setting, we have four different subjects, walking around in the deployed areas, sometimes with overlapping trajectories. Through extensive experimental results, we show that SCPL can count the present subjects with 86% counting percentage when their trajectories are not completely overlapping. Our localization algorithms are also highly accurate, with an average localization error distance of 1.3 m.
Year
DOI
Venue
2013
10.1109/IPSN.2013.6917577
IPSN
Keywords
Field
DocType
counting,device-free localization,trajectory,localization algorithm,multiple subject,nonlinear fading,indoor human mobility constraint,localize multiple subject,fingerprint,indoor radio signal,average localization error distance,indoor human mobility constraints,different indoor setting,radiofrequency based device-free passive localization,radio signal strength,tracking,conditional random field,sequential counting,indoor device-free multisubject counting,indoor environment,scpl algorithm,wireless sensor networks,indoor environments,indoor device-free multi-subject counting,multiple subjects,indoor radio signals,parallel localizing,individual human subject,indoor radio,indoor human trajectory,radio link,vectors,training data,correlation,testing
Multipath propagation,Radio signal strength,Telecommunications,Computer science,Profiling (computer programming),Real-time computing,Artificial intelligence,Trajectory,Conditional random field,Computer vision,Exploit,Radio frequency,Fingerprint
Conference
Citations 
PageRank 
References 
79
2.44
22
Authors
8
Name
Order
Citations
PageRank
Chenren Xu151336.00
Bernhard Firner249423.49
Robert S. Moore31457.54
Yanyong Zhang43116184.08
Trappe, Wade53814236.68
Richard Howard631125.10
Feixiong Zhang71376.22
Ning An839836.33