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Feature analysis on river flow video data for floating tracers detection

Anastasia Pentari, Konstantia Moirogiorgou, Dimitra Iliopoulou, Livanos, Georges, Zervakis Michalis

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URIhttp://purl.tuc.gr/dl/dias/CC8F5A86-8281-4D61-A188-C4B46A926D34-
Identifierhttps://doi.org/10.1109/IST.2014.6958490-
Languageen-
Extent6 pagesen
TitleFeature analysis on river flow video data for floating tracers detectionen
CreatorAnastasia Pentarien
Creator Konstantia Moirogiorgouen
CreatorDimitra Iliopoulouen
CreatorLivanos, Georgesen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
Content SummaryThis study focuses on a significant water quality problem that can be posed as the calculation of the distribution of suspended sediments in rivers. More specifically, we propose a method that performs tracking and motion estimation on river floating sediment tracers. The current work analyzes a river flow video sequence and isolates the sediment information in order to determine the temporal extend of the suspended sediment distribution. The method is based on a combination of image processing techniques and is performed through hue and intensity analysis. The results present the river sediment tracers isolated from the river water flow and the river background as well as the river floating tracers velocity vector field.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2014-
SubjectWater quality--Managementen
SubjectWater quality controlen
Subjectwater quality managementen
Subjectwater quality controlen
Bibliographic CitationA. Pentari, K. Moirogiorgou, G. Livanos, D. Iliopoulou, M. Zervakis ,"Feature analysis on river flow video data for floating tracers detection," in 2014 Intern. Conf. on Imaging Syst. and Techniques (IST),pp.287 - 292. doi:10.1109/IST.2014.6958490en

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