Image Motion Processing in Biological and Computer Vision Systems

Abdesselam Bouzerdoum; Robert B. Pinter

doi:10.1117/12.970132

1 November 1989 Image Motion Processing in Biological and Computer Vision Systems

Abdesselam Bouzerdoum, Robert B. Pinter

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970132
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Abdesselam Bouzerdoum and Robert B. Pinter "Image Motion Processing in Biological and Computer Vision Systems", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970132

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