Abstract | ||
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A radio tomographic (RT) system uses the received signal strength (RSS) measurements collected on the links of a wireless mesh network composed of low-power transceivers in order to form real-time images of the attenuation field of the monitored area. These images indicate the position of people, without requiring them to participate in the localization effort by wearing or carrying any electronic device. Accurate localization and tracking of multiple people in real-time is required in several real-world applications, such as ambient-assisted living, tactical operations, and pedestrian traffic analysis in stores. In these scenarios, RT systems must perform reliably also a) when the number of targets is not known a priori and varies over time, and b) when people interact, i.e., have intersecting trajectories, in the monitored area. We demonstrate a RT system which tackles all of these challenges and provides accurate tracking of a varying and unknown number of people (both stationary and mobile) in real-time. |
Year | DOI | Venue |
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2013 | 10.1145/2461381.2461420 | IPSN |
Keywords | Field | DocType |
unknown number,real-time multiple people,multiple people,people interact,monitored area,localization effort,accurate localization,real-time image,radio tomographic system,rt system,accurate tracking,ambient-assisted living,object tracking,real time systems,electronic device,tomography,transceivers,trajectory | Traffic analysis,Transceiver,Computer science,A priori and a posteriori,Tomography,Real-time computing,Video tracking,Wireless mesh network,RSS,Trajectory | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maurizio Bocca | 1 | 274 | 16.62 |
Ossi Kaltiokallio | 2 | 221 | 14.41 |
Neal Patwari | 3 | 3805 | 241.58 |