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Deformable Multi-object Tracking Using Full Pixel Matching of Image

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e-Business and Telecommunications (ICETE 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 222))

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Abstract

We propose a novel method for the segmentation of deformable objects and the extraction of motion features for tracking objects in video data. The method adopts an algorithm called two-dimensional continuous dynamic programming (2DCDP) for extracting pixel-wise trajectories. A clustering algorithm is applied to a set of pixel trajectories to determine a shape of deformable objects each of which corresponds to a trajectory cluster. We conduct experiments to compare our method with conventional methods such as KLT tracker and SIFT. The experiment shows that our method is more powerful than the conventional methods.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Systems, University of Aizu, Tsuruga, Aizu-Wakamatsu, Japan

    Hisato Aota, Kazuhiro Ota, Yuichi Yaguchi & Ryuichi Oka

Authors
  1. Hisato Aota
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  2. Kazuhiro Ota
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  3. Yuichi Yaguchi
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  4. Ryuichi Oka
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Monmouth University, 07764, West Long Branch, NJ, U.S.A.

    Mohammad S. Obaidat

  2. Department of Informatics, University of Piraeus, 185 34, Piraeus, Greece

    George A. Tsihrintzis

  3. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

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Aota, H., Ota, K., Yaguchi, Y., Oka, R. (2012). Deformable Multi-object Tracking Using Full Pixel Matching of Image. In: Obaidat, M.S., Tsihrintzis, G.A., Filipe, J. (eds) e-Business and Telecommunications. ICETE 2010. Communications in Computer and Information Science, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25206-8_22

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  • DOI: https://doi.org/10.1007/978-3-642-25206-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25205-1

  • Online ISBN: 978-3-642-25206-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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