Contour tracking of contaminant clouds with sequential Monte Carlo methods

MH Jaward, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)
331 Downloads (Pure)

Abstract

Contour tracking for a single source emission is addressed in this paper. This problem is solved by estimating the contour boundary positions using a set of particle filters. The use of Sequential Monte Carlo techniques enables the tracking to performed when the measurements are noisy and the tracking results also includes the estimation uncertainly. The proposed technique is illustrated for a SCIPUFF generated single emission scenario and simulation experiments showed the successful tracking throughout the tracking period.
Translated title of the contributionContour tracking of contaminant clouds with Sequential Monte Carlo methods
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1469 - 1472
Number of pages4
Volume1
ISBN (Print)1424414849
DOIs
Publication statusPublished - Mar 2008
Event2008 IEEE International Conference on Acoustics, Speech, and Signal Processing - Caesars Palace, Las Vegas, United States
Duration: 30 Mar 20084 Apr 2008

Publication series

Name
ISSN (Print)15206149

Conference

Conference2008 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP '08
Country/TerritoryUnited States
CityLas Vegas
Period30/03/084/04/08

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work forms a part of the DIF-DTC project whose funding and support
is gratefully acknowledged.

Terms of use: Copyright © 2008 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 (ICASSP 2008).

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Keywords

  • tracking
  • distributed estimation

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