Recognising Simple Behaviours Using Time-Delay RBF Networks

摘要

This paper presents experiments using a radial basis function variant of the time-delay neural network with image sequences of human faces. The network is shown to be able to learn simple behaviours based on y-axis head rotation and generalise on different data. The network model's suitability for future dynamic vision applications is discussed.