Classification of wet/dry area based on the mahalanobis distance of feature from time space image analysis

Tomoaki Teshima, Hideo Saito, Masayoshi Shimizu, Akinori Taguchi

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
ページ467-470
ページ数4
出版ステータスPublished - 2009 12 1
イベント11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
継続期間: 2009 5 202009 5 22

出版物シリーズ

名前Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
CountryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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