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Real-time analog VLSI sensors for 2-D direction of motion

  • Part VIII: Implementations
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

Optical flow fields are a primary source of information about the visual scene in technical and biological systems. In a step towards a system for real time scene analysis we have developed two new algorithms for the parallel computation of the direction of motion field in 2-D. We have successfully implemented these algorithms in analog VLSI hardware such that all processing is performed in the focal plane of the imager. We present data from 12 × 13 and 15 × 14 test arrays and show that the sensors are reliable for over one order of magnitude in velocity and down to 20% contrast. The algorithms allow for a very small pixel size (110μm × 110μm in a 1.2μm CMOS process) and thus high resolution arrays are feasible.

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References

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Author information

Authors and Affiliations

  1. Technische Universität, München

    Rainer A. Deutschmann

  2. California Institute of Technology, 91125, Pasadena, CA

    Rainer A. Deutschmann, Charles M. Higgins & Christof Koch

Authors
  1. Rainer A. Deutschmann
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  2. Charles M. Higgins
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  3. Christof Koch
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Deutschmann, R.A., Higgins, C.M., Koch, C. (1997). Real-time analog VLSI sensors for 2-D direction of motion. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020308

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  • DOI: https://doi.org/10.1007/BFb0020308

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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