An adaptive feature-based tracking system

Eugene B. Pretorius · SUNScholar (Stellenbosch University) · 2008

In this paper, tracking tools are developed based on object features to robustly track the object using particle filtering. Automatic on-line initialisation techniques use motion detection and dynamic background modelling to extract features of moving objects. Automatically adapting the feature models during tracking is implemented and tested.

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