Sophisticated Tracking Framework with Combined Detector

This paper proposes a combined detector containing the background subtraction and the object appearance model-based detector. This is used to solve such problems as linking, overlapping, false object detecting etc. Then, we give a non-linear multi-mode tracker with the combined detector to solve such problems as sudden appearance changes and long-lasting occlusions, etc. Finally, we test our proposed person tracking framework in multi-object tracking scenario. Experimental results demonstrate that our proposed approaches have promising discriminative capability in comparison with other ones.

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