The study of 3D-model-based tracking in videos frequently has to be concerned with details of algorithms or their parameterisation. Time-consuming experiments have to be performed in this context which suggested to (at least partially) automate the evaluation of such experimental runs. A logic-based approach has been developed which generates Natural Language textual descriptions of evaluation runs and facilitates the formulation of specific hints. The implementation of this approach is outlined, results obtained with it on an extended complex real-world road traffic video are presented and discussed.
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