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

Rainer A. Deutschmarm, Charles M. Higgins, Christof Koch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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 x 13 and 15 x 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 x 110µm in а 1.2/ітп CMOS process) and thus high resolution arrays are feasible.

Original languageEnglish (US)
Title of host publicationArtificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings
EditorsWulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud
PublisherSpringer-Verlag
Pages1163-1168
Number of pages6
ISBN (Print)3540636315, 9783540636311
StatePublished - Jan 1 1997
Externally publishedYes
Event7th International Conference on Artificial Neural Networks, ICANN 1997 - Lausanne, Switzerland
Duration: Oct 8 1997Oct 10 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1327
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Artificial Neural Networks, ICANN 1997
CountrySwitzerland
CityLausanne
Period10/8/9710/10/97

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Deutschmarm, R. A., Higgins, C. M., & Koch, C. (1997). Real-time analog VLSI sensors for 2-D direction of motion. In W. Gerstner, A. Germond, M. Hasler, & J-D. Nicoud (Eds.), Artificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings (pp. 1163-1168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1327). Springer-Verlag.