Real-time tracking of image regions with changes in geometry and illumination

Gregory Hager, Peter N. Belhumeur

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

Abstract

Historically, SSD or correlation-based visual tracking algorithms have been sensitive to changes in illumination and shading across the target region. This paper describes methods for implementing SSD tracking that is both insensitive to illumination variations and computationally efficient. We first describe a vector-space formulation of the tracking problem, showing how to recover geometric deformations. We then show that the same vector space formulation can be used to account for changes in illumination. We combine geometry and illumination into an algorithm that tracks large image regions on live video sequences using no more computation than would be required to track with no accommodation for illumination changes. We present experimental results which compare the performance of SSD tracking with and without illumination compensation.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE
Pages403-410
Number of pages8
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Francisco, CA, USA
Duration: Jun 18 1996Jun 20 1996

Other

OtherProceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CitySan Francisco, CA, USA
Period6/18/966/20/96

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Hager, G., & Belhumeur, P. N. (1996). Real-time tracking of image regions with changes in geometry and illumination. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 403-410). IEEE.