DocumentCode :
289876
Title :
Modeling and electronic implementation of directional selectivity
Author :
Nabet, Bahram ; Shreesha, Vasanth
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
484
Abstract :
A shunting model of motion detection treatment is proposed and implemented. It is analyzed using a perturbational technique to model the behavior and extract the velocity information including both direction and speed. The model´s properties are illustrated by constructing a simple hardware analogue circuit. Response of the circuit to a variety of stimulus distributions show that the output is sensitive to speed and also is markedly different for movement in opposite directions. In order to analyze the behavior of the model, a perturbational technique is developed which describes the input-output relation in the form of a Volterra integral series. It is shown that the velocity term can be identified with the second order kernel while the second order Volterra operator is a running autocorrelation operator. This is in agreement with alternative methods of motion information analysis
Keywords :
Volterra series; computer vision; motion estimation; neural nets; perturbation techniques; Volterra integral series; analogue circuit; autocorrelation operator; directional selectivity; motion information analysis; perturbational technique; shunting motion detection; shunting unidirectional neural nets; stimulus distributions; Circuits; Data mining; Detectors; Equations; Hardware; Information analysis; Motion analysis; Motion detection; Nearest neighbor searches; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.385059
Filename :
385059
Link To Document :
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