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Figure 1. System architecture – the Boosted classifier is divided into two parts, the weak and the strong classifier
Figure 2. Examples of samples used to train vehicle detector.
Figure 3. Scenes used for evaluation.
Figure 5. Illustration of extracted vehicle trajectories in evaluatedtraffic scenes. The images are converted to grayscale for bet-ter readability of overlay graphics: blue-green curves representvehicle trajectories and red labels with white numbers representunique identificators of tracked objects.

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