Keeping your eye on the ball: Tracking occluding contours of unfamiliar objects without distraction

Kentaro Toyama, Gregory D. Hager

Research output: Contribution to conferencePaper

Abstract

Visual tracking is prone to distractions, where features similar to the target features guide the tracker away from its intended object. Global shape models and dynamic models are necessary for completely distraction-free contour tracking, but there are cases when component feature trackers alone can be expected to avoid distraction. We define the tracking problem in general and devise a method for local, window-based, feature trackers to track accurately in spite of background distractions. The algorithm is applied to a generic line tracker and a snake-like contour tracker which are then analyzed with respect to previous contour-trackers. We discuss the advantages and disadvantages of our approach and suggest that existing model-based trackers can be improved by incorporating similar techniques at the local level.

Original languageEnglish (US)
Pages354-359
Number of pages6
StatePublished - Jan 1 1995
Externally publishedYes
EventProceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3) - Pittsburgh, PA, USA
Duration: Aug 5 1995Aug 9 1995

Other

OtherProceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3)
CityPittsburgh, PA, USA
Period8/5/958/9/95

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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