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ABSTRACT

The AutoWitness project aims to deter, detect, and track theft of everyday objects using a combination of ultra low-power mobile tags and a wide-area network of static anchors. Key research challenges include dramatically driving down the cost and size of tags and increasing their lifetime, discriminating between normal activities and theft using motion detection and classification algorithms, reconstructing getaway trajectories from sparse anchor rendezvous, and ensuring sufficient coverage and connectivity in a sparse, wide-area network of anchors. The demonstration will show AutoWitness in operation including motion detection, classifying theft signatures, and tracking the trajectories of "stolen" objects near the conference venue.

REFERENCES

• 1: Brickhouse security GPS tracking system. http://www.brickhousesecurity.com.
• 2: Live View GPS Asset Tracker. http://www.liveviewgps.com.
• 3: LoJack Security System for Stolen Vehicle Recovery. http://www.lojack.com.
• 4: I. Ayres and S. Levitt. Measuring positive externalities from unobservable victim precaution: An empirical analysis of lojack. The Quarterly Journal of Economics, 113(1):43--77, Feb. 1998.
• 5: N. Banerjee, M. D. Corner, and B. N. Levine. An Energy-Efficient Architecture for DTN Throwboxes. In Infocom '07, pages 776--784, May 2007.
• 6: Prabal K. Dutta , Jonathan W. Hui , David C. Chu , David E. Culler, Securing the deluge Network programming system, Proceedings of the 5th international conference on Information processing in sensor networks, April 19-21, 2006, Nashville, Tennessee, USA [doi>10.1145/1127777.1127826]
• 7: Prabal Dutta , Jay Taneja , Jaein Jeong , Xiaofan Jiang , David Culler, A building block approach to sensornet systems, Proceedings of the 6th ACM conference on Embedded network sensor systems, November 05-07, 2008, Raleigh, NC, USA [doi>10.1145/1460412.1460439]
• 8: Joseph Polastre , Robert Szewczyk , David Culler, Telos: enabling ultra-low power wireless research, Proceedings of the 4th international symposium on Information processing in sensor networks, April 24-27, 2005, Los Angeles, California
• 9: F. UCR. Burglary - Crime in the United States - 2007. http://www.fbi.gov/ucr/cius2007/offenses/property_crime/burglary.html.

INDEX TERMS

Primary Classification:
  B. Hardware
  B.0 GENERAL

Additional Classification:
  B. Hardware
  B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS

  J. Computer Applications
  J.4 SOCIAL AND BEHAVIORAL SCIENCES

General Terms:
Design, Experimentation, Measurement, Performance

Keywords:
burglar tracking, theft detection