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Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis

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Ubiquitous Intelligence and Computing (UIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5061))

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Abstract

Real-time human tracking and pedestrian counting in very complex situations with different directions of motion has been important for video surveillance and our daily life applications. This work presents a virtual gate method for the pedestrian detection without the need to construct a background model a priori. The proposed method utilizes motion estimation with three step search and a novel motion vector analysis algorithm which detects moving objects passing through the gate along any desired direction. This method is particularly applicable to complex situations. The experimental results demonstrate that the proposed strategy is reliable.

This work was supported in part by the National Science Council, Taiwan, R.O.C. grants NSC96-2221-E-305-008-MY2, NSC 95-2221-E-305 -006 and Ministry of Economics 94EC17A02S1-032, 95EC17A02S1-032.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taipei University, 151, University Rd., San-Shia, Taipei, 237, Taiwan

    Daw-Tung Lin & Li-Wei Liu

Authors
  1. Daw-Tung Lin
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  2. Li-Wei Liu
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Editor information

Frode Eika Sandnes Yan Zhang Chunming Rong Laurence T. Yang Jianhua Ma

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© 2008 Springer-Verlag Berlin Heidelberg

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Lin, DT., Liu, LW. (2008). Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds) Ubiquitous Intelligence and Computing. UIC 2008. Lecture Notes in Computer Science, vol 5061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69293-5_56

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  • DOI: https://doi.org/10.1007/978-3-540-69293-5_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69292-8

  • Online ISBN: 978-3-540-69293-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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