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Hybrid tracking based on color histogram for intelligent space

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Abstract

The vision sensor network is expected to achieve a contact-free wide-area location system without any additional burden on users in intelligent environments. In this article, a tracking algorithm for a location system in an intelligent environment is described. A modified color tracker based on a Kalman filter and a mean shift procedure is proposed in order to improve the robustness for occlusion and rapid movement. To handle the sudden change in object movement, we propose a hybrid tracking algorithm, including an adaptive feedback loop, based on the statistics of color histogram models after the mean-shift process. Experimental results showed that the proposed method achieves more robust tracking of multiple objects than the conventional method.

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Authors and Affiliations

  1. Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan

    Kazuyuki Morioka

  2. Ritsumeikan University, Shiga, Japan

    Joo-Ho Lee

  3. IIS, University of Tokyo, Tokyo, Japan

    Yoichi Kuroda & Hideki Hashimoto

Authors
  1. Kazuyuki Morioka
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  2. Joo-Ho Lee
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  3. Yoichi Kuroda
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  4. Hideki Hashimoto
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Corresponding author

Correspondence to Kazuyuki Morioka.

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Morioka, K., Lee, JH., Kuroda, Y. et al. Hybrid tracking based on color histogram for intelligent space. Artif Life Robotics 11, 204–210 (2007). https://doi.org/10.1007/s10015-007-0429-9

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  • DOI: https://doi.org/10.1007/s10015-007-0429-9

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