Fast occluded object tracking by a robust appearance filter

Hieu T Nguyen, Arnold W M Smeulders
IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 26 (8): 1099-104
We propose a new method for object tracking in image sequences using template matching. To update the template, appearance features are smoothed temporally by robust Kalman filters, one to each pixel. The resistance of the resulting template to partial occlusions enables the accurate detection and handling of more severe occlusions. Abrupt changes of lighting conditions can also be handled, especially when photometric invariant color features are used. The method has only a few parameters and is computationally fast enough to track objects in real time.

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