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Proceedings Paper

Implementation of insect-vision-based motion detection models using a video camera
Author(s): Andrew Budimir; Sean Correll; Sreeja Rajesh; Derek Abbott
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Paper Abstract

Despite their limited information processing capabilities, insects (with brains smaller than a pinhead) are able to manoeuvre with precision through environments that are highly-crowded and contain moving objects. Their ability to avoid collisions using limited computing power forms the basis for this project, in which we attempt to simulate the motion detection ability of insects using two models - the Horridge Template Model and the Reichardt Correlation Model. In this project, the direction of motion of a moving object and its angular speed are determined by capturing visual data using a web camera focussed on a moving pattern generated by VisionEgg software. The performance of both the models is quantitatively compared and various error-reducing techniques are investigated.

Paper Details

Date Published: 28 February 2005
PDF: 12 pages
Proc. SPIE 5649, Smart Structures, Devices, and Systems II, (28 February 2005); doi: 10.1117/12.582233
Show Author Affiliations
Andrew Budimir, The Univ. of Adelaide (Australia)
Sean Correll, The Univ. of Adelaide (Australia)
Sreeja Rajesh, The Univ. of Adelaide (Australia)
Derek Abbott, The Univ. of Adelaide (Australia)

Published in SPIE Proceedings Vol. 5649:
Smart Structures, Devices, and Systems II
Said F. Al-Sarawi, Editor(s)

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