Top Viewing Human Tracking in Shopping Centres

The problem of top viewing human tracking in a closed environment, such as is the area of a shopping centre is a challenging one. In this paper we test a number of Kalman and simple particles filters-based algorithms for solving the visual tracking problem. Although results obtained from the experiments that we have conducted are promising and can be considered as adequate from all practical perspectives, more research must be done so that the filter used takes into account the existing peculiarities in the movements of human beings.