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Rapid Object Tracking on Compressed Video

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Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

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Abstract

Rapid object tracking algorithm is proposed in this paper. The algorithm operates on the DC sequence and motion vectors. Full-frame decompression is not necessary to extract the DC sequence and motion vectors from compressed video sequence, which speeds up the tracking process remarkably. More than one moving objects can be tracked in a video sequence simultaneously. Global motion compensation based on compressed streams is applied to track moving objects whenever there is global motion. Experimental results show that the proposed algorithm is effective in real-time object tracking on MPEG-2 video sequence.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Shanghai Jiao Tong University, Huashan Rd. 1954, Shanghai, 200030, P.R.China

    Hanfeng Chen, Yiqiang Zhan & Feihu Qi

Authors
  1. Hanfeng Chen
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  2. Yiqiang Zhan
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  3. Feihu Qi
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Editor information

Editors and Affiliations

  1. Microsoft Research China, 5/F Beijing Sigma Center 49 Zhichung Road, Haidian District, Beijing, 100080, China

    Heung-Yeung Shum

  2. Institute of Information Science, Academia Sinica, Taiwan

    Mark Liao

  3. Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA

    Shih-Fu Chang

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© 2001 Springer-Verlag Berlin Heidelberg

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Chen, H., Zhan, Y., Qi, F. (2001). Rapid Object Tracking on Compressed Video. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_145

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  • DOI: https://doi.org/10.1007/3-540-45453-5_145

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

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