Visual tracking with deformation models

James M. Rehg, Andrew P. Witkin

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

Abstract

A novel solution to the 2-D tracking problem is presented. This solution has two major components: a deformation model that constrains the interpretation of motion, and a set of energy-based match criteria that specify image features to be used in tracking. The separation of the motion model from the match features is an advantage of this approach over previous tracking systems. An implementation of these ideas has been shown to exhibit fast and flexible operation over a wide class of image motions. Experimental results are given for two real-world image sequences.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherIEEE Computer Society
Pages844-850
Number of pages7
ISBN (Print)081862163X
StatePublished - 1991
Externally publishedYes
EventProceedings of the 1991 IEEE International Conference on Robotics and Automation - Sacramento, CA, USA
Duration: Apr 9 1991Apr 11 1991

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume1

Other

OtherProceedings of the 1991 IEEE International Conference on Robotics and Automation
CitySacramento, CA, USA
Period4/9/914/11/91

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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