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Fast occluded object tracking by a robust appearance filter.

Hieu T Nguyen1, Arnold W M Smeulders

  • 1Intelligent Sensory Information Systems Group, University of Amsterdam, Faculty of Science, Kruislaan 403, NL-1098 SJ, Amsterdam, The Netherlands. tat@science.uva.nl

IEEE Transactions on Pattern Analysis and Machine Intelligence
|January 12, 2005
PubMed
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This study introduces a novel object tracking method using template matching and Kalman filters for robust real-time performance. The approach effectively handles occlusions and lighting changes for accurate image sequence analysis.

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Object tracking in image sequences is crucial for various applications.
  • Existing methods struggle with occlusions and lighting variations.

Purpose of the Study:

  • To develop a robust and computationally efficient object tracking method.
  • To improve tracking accuracy under challenging conditions like occlusions and lighting changes.

Main Methods:

  • Utilizes template matching with temporally smoothed appearance features.
  • Employs robust Kalman filters for pixel-wise feature smoothing.
  • Incorporates photometric invariant color features for lighting invariance.

Main Results:

Related Experiment Videos

  • The proposed template matching method demonstrates resistance to partial occlusions.
  • Accurate detection and handling of severe occlusions are achieved.
  • Effective handling of abrupt lighting condition changes is demonstrated.

    • Conclusions:

    • The new method offers accurate and robust object tracking in real-time.
    • It provides a computationally efficient solution for challenging image sequences.
    • The approach is suitable for applications requiring reliable visual tracking.