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 contribution||Contour tracking of contaminant clouds with Sequential Monte Carlo methods|
|Title of host publication||IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1469 - 1472|
|Number of pages||4|
|Publication status||Published - Mar 2008|
|Event||2008 IEEE International Conference on Acoustics, Speech, and Signal Processing - Caesars Palace, Las Vegas, United States|
Duration: 30 Mar 2008 → 4 Apr 2008
|Conference||2008 IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Abbreviated title||ICASSP '08|
|Period||30/03/08 → 4/04/08|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: This work forms a part of the DIF-DTC project whose funding and support
is gratefully acknowledged.
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- distributed estimation