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Proceedings Paper

Image Motion Processing in Biological and Computer Vision Systems
Author(s): Abdesselam Bouzerdoum; Robert B. Pinter
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Paper Abstract

Motion modeling in biological and computer vision systems is divided into two categories: intensity-based schemes and feature-matching schemes. Some models from each category are discussed. Intensity-based models are further subdivided into global and local models. Moreover, a new motion detection model that belongs to the family of intensity-based schemes is introduced. The model operates on the same basic structure as the Reichardt's correlation model does, that is, a nonlinear asymmetric interaction between signals from two adjacent channels. However, the new model differs from that of Reichardt in the nature and origin of the nonlinear interaction: it is of the inhibitory type originating from the biophysical mechanism of shunting inhibition. Our model detects fairly well motion of objects like edges and bars. Furthermore, its mean response to a moving grating of low contrast is equivalent to that of the Reichardt correlation model.

Paper Details

Date Published: 1 November 1989
PDF: 13 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970132
Show Author Affiliations
Abdesselam Bouzerdoum, Universty of Washington (United States)
Robert B. Pinter, Universty of Washington (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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