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An Object Tracking Scheme Based on Local Density

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Advances in Multimedia Modeling (MMM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4351))

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Abstract

We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminating features of the object are extracted from a small neighborhood of the local region containing the tracked object. The object’s location probability is estimated in a Bayesian framework with the prior being the approximated probabilities in the previous frame. The proposed method is both practical and general since a great many of video scenes are included in this category. For the case of less-potent features, however, additional information from such as the motion is further integrated to help improving the estimation of location probabilities of the object. The non-statistical location of an object is then derived through thresholding and shape adjustment, as well as being verified by the prior density of the object. The method is effective and robust to occlusion, illumination change, shape change and partial appearance change of the object.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, University of Western Sydney, NSW, 1797, Australia

    Zhuan Qing Huang & Zhuhan Jiang

Authors
  1. Zhuan Qing Huang
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  2. Zhuhan Jiang
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, 639798, Singapore

    Tat-Jen Cham  & Deepu Rajan  & 

  2. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Jianfei Cai

  3. IBM T.J. Watson Research Center, Yorktown Heights, P.O. Box 704, 10598, New York, USA

    Chitra Dorai

  4. National University of Singapore, 3 Science Dr, 117543, Singapore

    Tat-Seng Chua

  5. Center for Multimedia and Network Technology, School of Computer Enginnering, Nanyang Technological University, 639798, Singapore

    Liang-Tien Chia

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, Z.Q., Jiang, Z. (2006). An Object Tracking Scheme Based on Local Density. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69423-6_17

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  • DOI: https://doi.org/10.1007/978-3-540-69423-6_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69421-2

  • Online ISBN: 978-3-540-69423-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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