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Computational modelling of motion detectors: responses to two-frame displays

Mather, George (1990) Computational modelling of motion detectors: responses to two-frame displays. Spatial Vision, 5 (1). pp. 1-14. ISSN 0169-1015

Full content URL: http://dx.doi.org/10.1163/156856890X00057

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive

Abstract

Schemes for motion detection fall into two classes. Reichardt correlators compare spatial luminance patterns at two locations at different times; gradient detectors compare spatial and temporal luminance gradients. Both are candidate operators for biological and machine vision systems. A large body of perceptual data exists, defining the properties of motion detectors used by human observers, which can form a basis for determining which class of detector is appropriate for the human visual system. Plausible versions of each detector were implemented, and their responses to a variety of two-frame stimuli were computed. Results indicated that both detectors can predict most of the data, but on balance gradient detectors offer the best working hypothesis for motion detection by human observers. This conclusion is necessarily limited to the type of stimuli used, and may require modification in the light of responses to continuously moving stimuli.

Keywords:article, biological model, human, mathematics, movement perception, physiology, vision, Human, Models, Biological, Motion Perception, Support, Non-U.S. Gov't, Visual Perception
Subjects:B Subjects allied to Medicine > B140 Neuroscience
C Biological Sciences > C830 Experimental Psychology
Divisions:College of Social Science > School of Psychology
ID Code:16138
Deposited On:04 Dec 2014 14:22

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