Robust Tracking of Position and Velocity With Kalman Snakes

  • Authors:
  • Natan Peterfreund

  • Affiliations:
  • Oak Ridge National Lab, Oak Ridge, TN

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1999

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Abstract

A new Kalman-filter based active contour model is proposed for tracking of nonrigid objects in combined spatio-velocity space. The model employs measurements of gradient-based image potential and of optical-flow along the contour as system measurements. In order to improve robustness to image clutter and to occlusions an optical-flow based detection mechanism is proposed. The method detects and rejects spurious measurements which are not consistent with previous estimation of image motion.