Tracking objects by the Bayesian network

An algorithm for tracking objects in a videostream based on the use of a hierarchical Bayesian network is proposed. A specific feature of the algorithm proposed is the use of multi-dimensional scaling, which made possible to significantly reduce the network training time. The algorithm is resistant to temporary monitored object disappearances. It is able to monitor several objects against a complex background and well parallelized.