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Figure 1: Dynamic Bayes Network proposed for pedestrian tracking. The nodes represent random variables, the edges conditionaldependencies between them
Figure 2: Frame #2 of the test sequence and visualisations of the probabilities associated with the position of the nearest pedestrian tothe camera in the image
Figure 3: Exemplary tracking results achieved by the proposed system. Most pedestrians are tracked persistently throughout theirpresence in the images, though also early terminations of trajectories occur.

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