Neural network visual tracking system

Abstract

The neural control system of a high speed monocular camera head for the tracking of real-world targets is presented in this paper. The tracking system consists of four subsystems: monocular camera head. adaptive image processing system for estimation of the momentary position of object, neural network predictor and PID-controtler, controlling motors of the camera head. The designed neural network tracking system performs smooth pursuit of slow objects (50°/s) with a foveal error less than 0.7 ° and is able to track objects up to a maximum speed of 320°/s with foveal error less than 4.5°.