Kernel-based object tracking using a simple fuzzy color histogram

  • Authors:
  • Juan Villalba Espinosa;José María González Linares;Julián Ramos Cózar;Nicolás Guil Mata

  • Affiliations:
  • University of Málaga, Dept. of Computer Architecture, Málaga, Spain;University of Málaga, Dept. of Computer Architecture, Málaga, Spain;University of Málaga, Dept. of Computer Architecture, Málaga, Spain;University of Málaga, Dept. of Computer Architecture, Málaga, Spain

  • Venue:
  • IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
  • Year:
  • 2011

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Abstract

In this paper, we present an approach for kernel-based object tracking using the HSV color space as the feature space and fuzzy color histograms as feature vectors. These histograms are more robust to illumination changes and quantization errors than common histograms. To avoid a significant increase in the computational complexity, a simple fuzzy membership function is used. The efficiency of this approach is demonstrated using videos from the PETS database and comparing the results using the fuzzy color histogram and the common color histogram.