Motion perception and recognition using moving light displays

Despite the limited amount of information that is available to the observer of a moving light display, humans are able to infer detailed information about the activity and identity of the actors within the film. The development of a system, which uses such displays to recognise different types of human motion, is described using a spatio-temporal neural network to classify different temporal sequences of movement. ART architectures are employed to adapt and maintain the learned codes of the network providing real-time learning and stability against insignificant events