Fast Occluded Object Tracking by a Robust Appearance Filter

@article{Nguyen2004FastOO,
  title={Fast Occluded Object Tracking by a Robust Appearance Filter},
  author={Hieu Tat Nguyen and Arnold W. M. Smeulders},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2004},
  volume={26 8},
  pages={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… CONTINUE READING
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