Poster abstract: Cooperative tracking with binary-detection sensor networks

Kirill Mechitov, Youngmin Kwon, Sameer Sundresh, Gul A Agha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel method for tracking the movement of people or vehicles in open outdoor environments using sensor networks. Unlike other sensor network-based methods, which depend on determining distance to the target or the angle of arrival of the signal, our cooperative tracking approach requires only that a sensor be able to determine if an object is somewhere within the maximum detection range of the sensor. We propose cooperative tracking as a method for tracking moving objects and extrapolating their paths in the short term. By combining data from neighboring sensors, this approach enables tracking with a resolution higher than that of the individual sensors being used. We employ statistical estimation and approximation techniques to further increase the tracking precision, and to enable the system to exploit the tradeoff between accuracy and timeliness of the results. We analyze the behavior of the cooperative tracking algorithm through simulation, focusing on the effects of approximation techniques on the quality of estimates achieved. This work focuses on acoustic tracking, however the presented methodology is applicable to any sensing modality where the sensing range is relatively uniform.

Original languageEnglish (US)
Title of host publicationSenSys'03
Subtitle of host publicationProceedings of the First International Conference on Embedded Networked Sensor Systems
Pages332-333
Number of pages2
StatePublished - Dec 1 2003
EventSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems - Los Angeles, CA, United States
Duration: Nov 5 2003Nov 7 2003

Publication series

NameSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems

Other

OtherSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems
Country/TerritoryUnited States
CityLos Angeles, CA
Period11/5/0311/7/03

Keywords

  • Cooperative tracking
  • Sensor networks
  • Target tracking

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Poster abstract: Cooperative tracking with binary-detection sensor networks'. Together they form a unique fingerprint.

Cite this