Objects Movement Detection Based on Impulsed Neural Network of the Analogue of the Biological Retinal Model

Abstract

This paper describes a neural network model based on the biological analog of the impulse neural network of the retina, which makes it possible to identify movement objects in a video image and a motion detector based on the retinal operation. The proposed detector is an alternative to detectors based on deterministic methods and traditional neural networks. It requires less computational resources at the same video image processing speed.