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Automatic Detection of Object of Interest and Tracking in Active Video

  • Conference paper
Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

We propose a novel method for automatic detection of Object of Interest (OOI) and tracking from actively acquired videos. The proposed approach benefits the object-centered property of Active Video and facilitates self-initialization in tracking by a non-calibrated camera. We first use a color-saliency weighted Probability-of-Boundary (cPoB) map for keypoints filtering and salient region detection. Successive Classification Maximum Similarities (SCMS) feature matching is used for tracking between two consecutive frames. A strong classifier trained on-the-fly by AdaBoost is utilized for keypoint classification and subsequent Linear Programming rejects outliers. Experiments demonstrate the importance of active video during the data collection phase and confirm that our new approach can automatically detect and reliably track OOI in videos.

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Author information

Authors and Affiliations

  1. Vision and Media Lab, School of Computing Science, Simon Fraser University, Burnaby, B.C., V5A 1S6, Canada

    Jiawei Huang & Ze-Nian Li

Authors
  1. Jiawei Huang
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  2. Ze-Nian Li
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Huang, J., Li, ZN. (2009). Automatic Detection of Object of Interest and Tracking in Active Video. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_32

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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