An adaptive feature-based tracking system

Pretorius, Eugene (Stellenbosch : University of Stellenbosch, 2008-03)

Thesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2008.

Thesis

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.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/1716
This item appears in the following collections: