Team for Research in
Ubiquitous Secure Technology

Citation
Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar Sastry. "Instrumenting Wireless Sensor Networks for Real-Time Surveillance". Talk or presentation, 27, April, 2006; Poster given at Trust NSF Site Visit.

Abstract
This paper considers the problem of tracking an unknown number of targets using a wireless sensor network for surveillance. In particular, we consider the case in which each sensor reports only a binary value indicating whether an object is detected near the reporting sensor or not. Since the number of targets and initial states of targets are unknown in advance, the task of tracking with coarse measurements from binary sensors is extremely challenging. This paper develops an efficient multi-sensor fusion algorithm which converts binary detections into finer position reports using spatial correlation. The fused measurements are then used by the Markov chain Monte Carlo data association (MCMCDA) algorithm to track an unknown number of targets. The algorithm has been successfully applied in real-time to track an unknown number of human subjects moving through an outdoor field monitored by a wireless sensor network. To our knowledge, this paper presents the first largescale demonstration of multi-target tracking using a wireless sensor network without relying on classification.

Electronic downloads

• oh_InstrumentingWirelessSensorNetworks_TrustApril06Poster.ppt · application/vnd.ms-powerpoint · 1672 kbytes

• HTML

  Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar Sastry.
  <a href="http://www.truststc.org/pubs/87.html"
  ><i>Instrumenting Wireless Sensor Networks for
  Real-Time Surveillance</i></a>, Talk or
  presentation,  27, April, 2006; Poster given at Trust NSF
  Site Visit.

• Plain text

  Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar Sastry.
  "Instrumenting Wireless Sensor Networks for Real-Time
  Surveillance". Talk or presentation,  27, April, 2006;
  Poster given at Trust NSF Site Visit.

• BibTeX

  @presentation{OhChenManzoSastry06_InstrumentingWirelessSensorNetworksForRealTimeSurveillance,
      author = {Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar
                Sastry},
      title = {Instrumenting Wireless Sensor Networks for
                Real-Time Surveillance},
      day = {27},
      month = {April},
      year = {2006},
      note = {Poster given at Trust NSF Site Visit},
      abstract = {This paper considers the problem of tracking an
                unknown number of targets using a wireless sensor
                network for surveillance. In particular, we
                consider the case in which each sensor reports
                only a binary value indicating whether an object
                is detected near the reporting sensor or not.
                Since the number of targets and initial states of
                targets are unknown in advance, the task of
                tracking with coarse measurements from binary
                sensors is extremely challenging. This paper
                develops an efficient multi-sensor fusion
                algorithm which converts binary detections into
                finer position reports using spatial correlation.
                The fused measurements are then used by the Markov
                chain Monte Carlo data association (MCMCDA)
                algorithm to track an unknown number of targets.
                The algorithm has been successfully applied in
                real-time to track an unknown number of human
                subjects moving through an outdoor field monitored
                by a wireless sensor network. To our knowledge,
                this paper presents the first largescale
                demonstration of multi-target tracking using a
                wireless sensor network without relying on
                classification.},
      URL = {http://www.truststc.org/pubs/87.html}
  }
  

Posted by Christopher Brooks on 4 May 2006.
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