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ASED on further experiments, at the expense of performance in terms of framerate we can easily improve accuracy to the point of perfect tracking for particular cars. This is done by increasing the sample (window) size on which the tree is trained.
Using 20 positives and only 10 negatives for training.
20 positives and 20 negatives with a sample size of 40×40
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