Occlusion tracking using logic models

James H. Von Brecht, Sheshadri R. Thiruvenkadam, Tony F. Chan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007
Pages224-229
Number of pages6
StatePublished - Dec 1 2007
Externally publishedYes
Event9th IASTED International Conference on Signal and Image Processing, SIP 2007 - Honolulu, HI, United States
Duration: Aug 20 2007Aug 22 2007

Conference

Conference9th IASTED International Conference on Signal and Image Processing, SIP 2007
CountryUnited States
CityHonolulu, HI
Period08/20/0708/22/07

Keywords

  • Image segmentation
  • Tracking
  • Variational methods

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this