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Carnegie Mellon Robotics Institute

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Abstract

We begin by considering current shortfalls with conventional surveillance systems and discuss the potential advantages of distributed, collaborative surveillance systems. Distributed surveillance systems other the capability tomonitor activity from multiple locations over time thereby increasing the likelihood of obtaining discriminating data necessary for interpretation of the activity. Yet the multiplicity of sensors magnifies the volumes of data that must be processed. We present our vision of a system which generates timely interpretations of activities in the scene automatically through the use of mechanisms for collaboration among sensing systems and efficient perception methods which complement the sensing paradigm. Then we review our recent efforts toward achieving this goal and present initial results.

Keywords

distributed surveillance, collaboration, moving object detection, moving object classification

Notes

Sponsor: DARPA

Grant ID: F04701-97-C-0022

Associated Center(s) / Consortia: National Robotics Engineering Center

Associated Lab(s) / Group(s): Advanced Mechatronics Lab

Associated Project(s): Distributed Surveillance & Sensing and Distributed Robotics Systems - CyberScout

Text Reference

Diehl Chris, Saptharishi Mahesh, Hampshire John, and Khosla Pradeep, "Collaborative Surveillance using Both Fixed and Mobile Unattended Sensor Platforms," Proceedings of SPIE's 13th Annual International Conference on Aerospace/Defense Sensing, Simulation, and Controls, April, 1999.

BibTeX Reference

@inproceedings{_1999_3234,
   author = "Diehl Chris and Saptharishi Mahesh and Hampshire John and Khosla Pradeep",
   title = "Collaborative Surveillance using Both Fixed and Mobile Unattended Sensor Platforms",
   booktitle = "Proceedings of SPIE's 13th Annual International Conference on Aerospace/Defense Sensing, Simulation, and Controls",
   month = "April",
   year = "1999",
   volume = "3693",
}

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