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

8 Scopus citations


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
Number of pages6
ISBN (Print)3540636315, 9783540636311
StatePublished - 1997
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)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th International Conference on Artificial Neural Networks, ICANN 1997

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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