TY - GEN
T1 - Classification of wet/dry area based on the mahalanobis distance of feature from time space image analysis
AU - Teshima, Tomoaki
AU - Saito, Hideo
AU - Shimizu, Masayoshi
AU - Taguchi, Akinori
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In this paper, we propose a method to detect a wet area on the road from a single camera. We create a virtul reflection image from the input image and the 3D shape information. We do not propose about the 3D reconstruction method. To classify the areas, we compute the time space image on each area and classify them based on the mahalanobis distance from the training data.
AB - In this paper, we propose a method to detect a wet area on the road from a single camera. We create a virtul reflection image from the input image and the 3D shape information. We do not propose about the 3D reconstruction method. To classify the areas, we compute the time space image on each area and classify them based on the mahalanobis distance from the training data.
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M3 - Conference contribution
AN - SCOPUS:84869390721
SN - 9784901122092
T3 - Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
SP - 467
EP - 470
BT - Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
T2 - 11th IAPR Conference on Machine Vision Applications, MVA 2009
Y2 - 20 May 2009 through 22 May 2009
ER -