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Type: Conference paper
Title: Elaborated Reichardt correlator for velocity estimation tasks
Author: Rajesh, S.
O'Carroll, D.
Abbott, D.
Citation: Biomedical applications of micro- and nanotechnology / Dan V. Nicolau, Abraham P. Lee (eds.): pp. 241-253
Publisher: SPIE
Publisher Place: CDROM
Issue Date: 2002
Series/Report no.: Proceedings of SPIE - The International Society for Optical Engineering ; 4937
ISBN: 0-8194-4732-3
ISSN: 0277-786X
Conference Name: International Symposium on Smart Materials, Nano- and Micro-Smart Systems (2002 : Melbourne, Australia)
Statement of
Sreeja Rajesh, David C. O'Carroll, and Derek Abbott
Abstract: The study of insect vision is believed to provide a key solution to many different aspects of motion detection and velocity estimation. The main reason for this is that motion detection in the fly is extremely fast, with computations requiring only a few milliseconds. So the insect visual system serves as the basis for many models of motion detection. The earliest and the most prominent model is the Reichardt correlator model. But it is found that in the absence of additional system components, the response of a simple Reichardt correlator model is dependent on contrast and spatial frequency. Dror has demonstrated in his work that the addition of spatial and temporal filtering, saturation, integration and adaptation in a correlator based system can make it act as a reliable velocity estimator.In this paper, we try to further investigate and expand his model to improve the correlator performance. Our recent neurobiological experiments suggest that adaptive mechanisms decrease EMD (elementary motion detector) dependence on pattern contrast and improve reliability. So appropriate modelling of an adaptive feedback mechanism is done to normalise contrast of input signals.
Rights: Copyright © 2003 SPIE - The International Society for Optical Engineering.
RMID: 0020022538
DOI: 10.1117/12.469414
Appears in Collections:Electrical and Electronic Engineering publications

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