Visual tracking and classification with artificial neural network

Aims to show that it is possible to solve the tracking and classification problems, successfully with the help of neural networks. The authors propose two neural networks, one for the visual tracking of moving objects and another one for their classification. The input images are taken sequentially from digitized TV pictures showing the 3-D objects movement along its trajectories.