Testing Computer Vision techniques for bedload sediment transport evaluation in sewers

International audienceThe potential of Computer Vision techniques to support estimation of bedload transport in sewers is investigated. A specific methodology combining the use of algorithms for sediment detection and tracking with advanced image filtering procedures was setup in order to identify the sediment particles contributing to the bedload transport. The methodology was preliminary applied to a large combined sewer channel of Paris City for which videos capturing sediment transport processes during flushing experiments are available