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Raindrop Detection from In-Vehicle Video Camera Images for Rainfall Judgment
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.334First International Conference on Inn ...
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Hiroyuki Kurihata, Nagoya University, Japan
Tomokazu Takahashi, Nagoya University, Japan
Yoshito Mekada, Nagoya University, Japan
Ichiro Ide, Nagoya University, Japan
Hiroshi Murase, Nagoya University, Japan
Yukimasa Tamatsu, Denso Corporation, Japan
Takayuki Miyahara, Denso Corporation, Japan
In this paper, we propose a method to detect raindrops from in-vehicle camera images and recognize rainfall using time-series information. We aim to improve the accuracy of raindrop detection by averaging the test images and framematching the result of raindrop detection in multiple adjoining frames. According to an evaluation experiment, raindrops were detected precisely enough for automatic wiper control by the proposed method.
Citation:
Hiroyuki Kurihata, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu, Takayuki Miyahara, "Raindrop Detection from In-Vehicle Video Camera Images for Rainfall Judgment," icicic, vol. 2, pp.544-547, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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