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A platform for research: civil engineering, architecture and urbanism
Wave runup video motion detection using the Radon Transform
AbstractA new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. The instantaneous waterline is detected from uprush and backwash by using the Radon Transform (RT). The method is compared to conventional color contrast method from RGB images and LiDAR measurements. In our observations, the RT shows better detection skill even for adverse conditions, such as those present on flat dissipative swash zones where contrast is reduced. Because the RT is a proxy of deeper waterline (∼0.1 m) it is less sensitive to lack of contrast due to sand saturation. Moreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. Overall, the RT offers an attractive alternative for long term automated detection of the runup.
HighlightsNew video method for runup detection based on motion tracking using the Radon Transform.Quantitative comparison with conventional color contrast video method and LiDAR data.Good skills for adverse conditions at flat dissipative swash zones and poor lighting conditions.
Wave runup video motion detection using the Radon Transform
AbstractA new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. The instantaneous waterline is detected from uprush and backwash by using the Radon Transform (RT). The method is compared to conventional color contrast method from RGB images and LiDAR measurements. In our observations, the RT shows better detection skill even for adverse conditions, such as those present on flat dissipative swash zones where contrast is reduced. Because the RT is a proxy of deeper waterline (∼0.1 m) it is less sensitive to lack of contrast due to sand saturation. Moreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. Overall, the RT offers an attractive alternative for long term automated detection of the runup.
HighlightsNew video method for runup detection based on motion tracking using the Radon Transform.Quantitative comparison with conventional color contrast video method and LiDAR data.Good skills for adverse conditions at flat dissipative swash zones and poor lighting conditions.
Wave runup video motion detection using the Radon Transform
Almar, Rafael (author) / Blenkinsopp, Chris (author) / Almeida, Luis Pedro (author) / Cienfuegos, Rodrigo (author) / Catalán, Patricio A. (author)
Coastal Engineering ; 130 ; 46-51
2017-09-26
6 pages
Article (Journal)
Electronic Resource
English
Wave runup video motion detection using the Radon Transform
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