Background Estimation Based on Device Pixel Structures for Silhouette Extraction

  • Yasutomo Kawanishi
  • Takuya Funatomi
  • Koh Kakusho
  • Michihiko Minoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5996)


We propose a novel technique for background estimation on the tabletop systems that have an information display on the tabletop and observe tabletop objects with a camera. In such systems, the background of an image observed with the camera includes the image shown on the tabletop display. The background varies according to the information presented on the tabletop display. Although we can estimate the background image from a displayed image based on traditional geometric registration and photometric correction, the background image is not sufficiently accurate in terms of pixel value blending for background subtraction. We estimate the background image in high accuracy based on the pixel structures of the display and the camera. We experimentally evaluate the methods by comparing the estimated image with the observed image.


Background Subtraction Background Image Object Region Background Estimation Error Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Kakehi, Y., Naemura, T., Matsushita, M.: Tablescape plus: Interactive small-sized vertical displays on a horizontal tabletop display. In: Proc. of the 2nd IEEE International Workshop on Horizontal interactive Human-Computer Systems, pp. 155–162 (2007)Google Scholar
  2. 2.
    Patten, J., Ishii, H., Hines, J., Pangaro, G.: Sensetable: A wireless object tracking platform for tangible user interfaces. In: Proc. of Conference on Human Factors in Computing Systems, CHI 2001 (2001)Google Scholar
  3. 3.
    Brown, M., Majumder, A., Yang, R.: Camera-based calibration techniques for seamless multiprojector displays. IEEE Trans. Vis. Comput. Graph. 11, 193–206 (2005)CrossRefGoogle Scholar
  4. 4.
    Nayar, S.K., Peri, H., Grossberg, M.D., Belhumeur, P.N.: A projection system with radiometric compensation for screen imperfections. In: Proc. International Workshop on Projector-Camera Systems, PROCAMS 2003 (2003)Google Scholar
  5. 5.
    Zhang, Z.: A flexible new technique for camera calibration. Trans. on Pattern Anal. Machine Intell., 1330–1334 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yasutomo Kawanishi
    • 1
  • Takuya Funatomi
    • 2
  • Koh Kakusho
    • 3
  • Michihiko Minoh
    • 2
  1. 1.Graduate School of InformaticsKyoto University 
  2. 2.Academic Center for Computing and Media StudiesKyoto University 
  3. 3.Department of Human System InteractionKwansei University 

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