title: Volterra series analysis and synthesis of a neural network for velocity estimation.
abstract: The motion detection problem occurs frequently in many applications connected with computer vision. Researchers have studied motion detection based on naturally occurring biological circuits for over a century. In this paper, we propose and analyze a motion detection circuit which is based on nerve membrane conduction. It consists of two unidirectional neural networks connected in an opposing fashion. Volterra input-output (I-O) models are then derived for the network so that velocity estimation can be cast as a parameter estimation problem. The technique is demonstrated through simulation.
authors.affiliation: Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA.
authors.forename: W S
authors.initials: WS
authors.lastname: Gray
authors.forename: B
authors.initials: B
authors.lastname: Nabet