Real-time visual tracking using geometric active contours and particle filters

Jincheol Ha, Eric N. Johnson, Allen Tannenbaum

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

Abstract

Image processing and filtering are essential elements for the visual tracking system in an unmanned aerial vehicle. This paper presents visual tracking methodology based on particle filtering in the framework of a fast implementation of the Chan-Vese active contour model. The fast implementation greatly improves the computational time of the segmentation process. We have tested particle filtering using this fast active contour model, and the filtering algorithm has shown the ability to robustly track an aerial target under varied conditions. The computational speed of the algorithm has allowed us to employ it for formation flight among UAVs. We have also demonstrated the utility of the filtering algorithm for multiple target tracking in the presence of occlusions.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
Pages1435-1442
Number of pages8
StatePublished - Nov 5 2007
Event2007 AIAA InfoTech at Aerospace Conference - Rohnert Park, CA, United States
Duration: May 7 2007May 10 2007

Publication series

NameCollection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
Volume2

Other

Other2007 AIAA InfoTech at Aerospace Conference
CountryUnited States
CityRohnert Park, CA
Period5/7/075/10/07

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Real-time visual tracking using geometric active contours and particle filters'. Together they form a unique fingerprint.

Cite this