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 引用 (Scopus)

抜粋

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.

元の言語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
出版物ステータス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
Japan
Yokohama
期間09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

フィンガープリント Classification of wet/dry area based on the mahalanobis distance of feature from time space image analysis' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Teshima, T., Saito, H., Shimizu, M., & Taguchi, A. (2009). Classification of wet/dry area based on the mahalanobis distance of feature from time space image analysis. : Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009 (pp. 467-470). (Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009).