Scipediacontent: Scipediacontent moved page Draft Content 231219974 to Lenz Roser 2011a

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Scipediacontent moved page Draft Content 231219974 to Lenz Roser 2011a

Scipediacontent: Created page with " == Abstract == Environment perception and scene understanding is an important issue for modern driver assistance systems. However, adverse weather situations and disadvantag..."

2021-02-03T19:40:41Z

Created page with " == Abstract == Environment perception and scene understanding is an important issue for modern driver assistance systems. However, adverse weather situations and disadvantag..."

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== Abstract ==

Environment perception and scene understanding is an important issue for modern driver assistance systems. However, adverse weather situations and disadvantageous illumination conditions like cast shadows have a negative effect on the proper operation of these systems. In this paper, we propose a novel approach for cast shadow recognition in monoscopic color images. In a first step, shadow edge candidates are extracted evaluating binarized channels in the color-opponent and perceptually uniform CIE L*a*b* space. False detections are rejected in a second verification step, using SVM classification and a combination of meaningful color features. We introduce a non-parametric representation for complex shadow edge geometries that enables utilizing shadow edge information for improving downstream vision-based driver assistance systems. A quantitative evaluation of the classification performance as well as results on multiple real-world traffic scenes show a reliable cast shadow recognition with only a few false detections.

== Original document ==

The different versions of the original document can be found in:

* [http://www.mrt.kit.edu/z/publ/download/Roser2011iv.pdf http://www.mrt.kit.edu/z/publ/download/Roser2011iv.pdf]

* [http://www.mrt.kit.edu/z/publ/download/Roser2011iv.pdf http://www.mrt.kit.edu/z/publ/download/Roser2011iv.pdf],
: [https://dblp.uni-trier.de/db/conf/ivs/ivs2011.html#RoserL11 https://dblp.uni-trier.de/db/conf/ivs/ivs2011.html#RoserL11],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005940560 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005940560],
: [https://ieeexplore.ieee.org/document/5940560 https://ieeexplore.ieee.org/document/5940560],
: [https://academic.microsoft.com/#/detail/2127113440 https://academic.microsoft.com/#/detail/2127113440]

* [http://xplorestaging.ieee.org/ielx5/5930385/5940387/05940560.pdf?arnumber=5940560 http://xplorestaging.ieee.org/ielx5/5930385/5940387/05940560.pdf?arnumber=5940560],
: [http://dx.doi.org/10.1109/ivs.2011.5940560 http://dx.doi.org/10.1109/ivs.2011.5940560]

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Lenz Roser 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 231219974 to Lenz Roser 2011a

Scipediacontent: Created page with " == Abstract == Environment perception and scene understanding is an important issue for modern driver assistance systems. However, adverse weather situations and disadvantag..."