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  • Research Article
  • Open Access

Efficient Adaptive Combination of Histograms for Real-Time Tracking

EURASIP Journal on Image and Video Processing20082008:528297

  • Received: 30 October 2007
  • Accepted: 12 July 2008
  • Published:


We quantitatively compare two template-based tracking algorithms, Hager's method and the hyperplane tracker, and three histogram-based methods, the mean-shift tracker, two trust-region trackers, and the CONDENSATION tracker. We perform systematic experiments on large test sequences available to the public. As a second contribution, we present an extension to the promising first two histogram-based trackers: a framework which uses a weighted combination of more than one feature histogram for tracking. We also suggest three weight adaptation mechanisms, which adjust the feature weights during tracking. The resulting new algorithms are included in the quantitative evaluation. All algorithms are able to track a moving object on moving background in real time on standard PC hardware.


  • Test Sequence
  • Tracking Algorithm
  • Adaptation Mechanism
  • Feature Weight
  • Weighted Combination

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Authors’ Affiliations

Department of Mathematics and Computer Science, Friedrich-Schiller University Jena, 07737 Jena, Germany
Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany


© F. Bajramovic et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.