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Abstract: For many years, vehicle tracking in tra#c images has su#ered from the problems of occlusions
and sudden variations in illumination. In order to resolve these occlusion problems,
we have been proposing the Spatio-Temporal Markov Random Field model(S-T MRF) for segmentation
of spatio-temporal images. This S-T MRF optimizes the segmentation boundaries of
occluded vehicles and their motion vectors simultaneously, by referring to textures and segment
labeling correlations along the temporal axis, as ... (Update)
Cited by: More
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BibTeX entry: (Update)
M. S.Kamijo. "illumination invariant and occlusion robust vehicle tracking by spatio-temporal mrf model. In Proc. 9th World Congress on ITS, 2002. http://citeseer.ist.psu.edu/kamijo02illumination.html More
@misc{ kamijo02illumination,
author = "M. Kamijo",
title = "illumination invariant and occlusion robust vehicle tracking by spatio-temporal
mrf model",
text = "M. S.Kamijo. illumination invariant and occlusion robust vehicle tracking
by spatio-temporal mrf model. In Proc. 9th World Congress on ITS, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/kamijo02illumination.html" }
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