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Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking

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Computer Vision – ACCV 2007 (ACCV 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4843))

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Abstract

Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial information explicitly and enables an estimation algorithm to recover the object orientation. This paper analyzes the capability of the SCC (in a kernel based framework) in detecting and estimating object motion and presents a principled way to obtain motion observable SCCs as object representations to achieve more reliable tracking. Extensive experimental results demonstrate the reliability of the tracking procedure using the proposed algorithm.

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References

  1. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. PAMI 25(5), 564–577 (2003)

    Google Scholar 

  2. Collins, R.: Mean-shift blob tracking through scale space. In: CVPR, pp. 234–240 (2003)

    Google Scholar 

  3. Fan, Z., Wu, Y.: Multiple collaborative kernel tracking. In: CVPR II, pp. 502–509 (2005)

    Google Scholar 

  4. Hager, G., Dewan, M., Stewart, C.: Multiple kernel tracking with SSD. In: CVPR I, pp. 790–797 (2004)

    Google Scholar 

  5. Zhao, Q., Tao, H.: Object tracking using color correlogram. In: VS-PETS, pp. 263–270 (2005)

    Google Scholar 

  6. Huang, J.: Color-spatial image indexing and applications. PhD thesis, Cornell University (1998)

    Google Scholar 

  7. Kailath, T.: The divergence and Bhattacharyya distance measures in signal selection. IEEE Trans. on Comm. Tech. 15(1), 52–60 (1967)

    Article  Google Scholar 

  8. http://visualsurveillance.org/PETS2001/

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Authors and Affiliations

  1. Department of Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064,  

    Qi Zhao & Hai Tao

Authors
  1. Qi Zhao
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  2. Hai Tao
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Editor information

Yasushi Yagi Sing Bing Kang In So Kweon Hongbin Zha

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhao, Q., Tao, H. (2007). Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76386-4_32

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  • DOI: https://doi.org/10.1007/978-3-540-76386-4_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76385-7

  • Online ISBN: 978-3-540-76386-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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