Analog-VLSI, array-processor-based, Bayesian, multi-scale optical flow estimation

L. Török, Á Zarándy

Research output: Article

9 Citations (Scopus)

Abstract

Optical flow (OF) estimation aims at derive a motion-vector field that characterizes motions on a video sequence of images. In this paper, we propose a new multi-scale (or scale-space) algorithm that generates OF on cellular neural/non-linear network universal machine, a general purpose analog-VLSI hardware, at resolution of 128 × 128 with fair accuracy and working over a speed of 100 frames/s. The performance of the hardware implementation of the proposed algorithm is measured on a standard image sequence. As far as we are concerned, this is the first time when an OF estimator hardware is tested on a practical-size standard image sequence.

Original languageEnglish
Pages (from-to)49-75
Number of pages27
JournalInternational Journal of Circuit Theory and Applications
Volume34
Issue number1
DOIs
Publication statusPublished - jan. 1 2006

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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