Appearance Kalman tracking under severe occlusions
نویسندگان
چکیده
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 and adaptive Kalman filters, one to each pixel, making the method robust against severe occlusions. The method is also robust to abrupt changes of lighting conditions, especially when photometric invariant color features are used to model the object appearance. The parameters of the Kalman filters are tuned automatically over time. The method is computationally fast enough to track objects in real time.
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تاریخ انتشار 2002