We propose a weather recognition method from in-vehicle camera images that uses a subspace method to judge rainy weather by detecting raindrops on the windshield. "Eigendrops" represent the principal components extracted from raindrop images in the learning stage. Then the method detects raindrops by template matching. In experiments using actual video sequences, our method showed good detection ability of raindrops and promising results for rainfall judgment from detection results.


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    Title :

    Rainy weather recognition from in-vehicle camera images for driver assistance


    Contributors:
    Kurihata, H. (author) / Takahashi, T. (author) / Ide, I. (author) / Mekada, Y. (author) / Murase, H. (author) / Tamatsu, Y. (author) / Miyahara, T. (author)


    Publication date :

    2005-01-01


    Size :

    1179244 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Rainy Weather Recognition from In-Vehicle Camera Images for Driver Assistance

    Kurihata, H. / Takahashi, T. / Ide, I. et al. | British Library Conference Proceedings | 2005


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