Tracking applications based on distributed and embedded sensor networks are emerging today, both in the field
of surveillance (airports, lab facilities, train stations, museums, public spots) and industrial vision (visual servoing, factory automation).
The SmartSurv system comprises network-enabled Smart Cameras for probabilistic tracking. They are capable of tracking objects
adaptively in real-time and offer a very bandwidth conservative approach, as the whole computation is performed embedded in each Smart Camera. Only the tracking results are transmitted which are on a higher level of abstraction.