Realtime tracking and identification of multiple objects in a cluttered environment

The authors have developed a distributed multi-module system for realtime tracking of objects, and online training of neural network classifiers. The aim of the project was to build a system which is able to locate objects and to follow them and learn to recognise them with minimal supervision. The problem domain chosen was the tracking and recognition of three species of tropical fish swimming in an aquarium