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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages467-470
Number of pages4
Publication statusPublished - 2009 Dec 1
Event11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
Duration: 2009 May 202009 May 22

Publication series

NameProceedings 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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  • Cite this

    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. In 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).