Color invariant density estimation for image segmentation and object tracking

Abstract

In this paper, we formulate a novel density estimation scheme derived from color invariants for image segmentation and object tracking. The advantage of color invariants is that they are robust against varying illumination. However, color invariants are ill-defined when the intensity or saturation is low. Therefore, to achieve robust density estimation… (More)
DOI: 10.1109/ICIP.2004.1421751

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Cite this paper

@article{Gevers2004ColorID, title={Color invariant density estimation for image segmentation and object tracking}, author={Theo Gevers and Frank Aldershoff}, journal={2004 International Conference on Image Processing, 2004. ICIP '04.}, year={2004}, volume={5}, pages={3029-3032 Vol. 5} }