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International Symposium on Artificial Intelligence and Signal Processing

AISP 2013: Artificial Intelligence and Signal Processing pp 71–81Cite as

Incremental Discriminative Color Object Tracking

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 427))

Abstract

This paper presents an object tracking algorithm based on discriminative 3D joint RGB histograms of the object and surrounding background. Mean-shift algorithm on the object confident map is used for localization. An incremental color learning scheme with a forgetting factor is utilized to account for appearance variation of the object. Evaluated against three state of the art methods, experiments demonstrate the effectiveness of the proposed tracking algorithm where the object undergoes variation in illumination and color. Implemented in MATLAB, the proposed tracker runs at 25.7 frames per second.

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Notes

  1. 1.

    https://sites.google.com/site/trackerbenchmark/benchmarks/v10

  2. 2.

    http://votchallenge.net/vot2013/evaluation_kit.html

  3. 3.

    http://www4.comp.polyu.edu.hk/~cslzhang/CBWH.htm

  4. 4.

    http://vision.cse.psu.edu/data/vividEval/software.html

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Author information

Authors and Affiliations

  1. Babol University of Technology, Babol, Iran

    Alireza Asvadi, Hami Mahdavinataj, Mohammadreza Karami & Yasser Baleghi

Authors
  1. Alireza Asvadi
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  2. Hami Mahdavinataj
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  3. Mohammadreza Karami
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  4. Yasser Baleghi
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Corresponding author

Correspondence to Alireza Asvadi .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

    Ali Movaghar

  2. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

    Mansour Jamzad

  3. Sharif University of Technology, Tehran, Iran

    Hossein Asadi

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Asvadi, A., Mahdavinataj, H., Karami, M., Baleghi, Y. (2014). Incremental Discriminative Color Object Tracking. In: Movaghar, A., Jamzad, M., Asadi, H. (eds) Artificial Intelligence and Signal Processing. AISP 2013. Communications in Computer and Information Science, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-10849-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-10849-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10848-3

  • Online ISBN: 978-3-319-10849-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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