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Statistical estimation of fluid flow: an image restoration approach

Zervakis Michalis, Konstantia Moirogiorgou, Andreas E. Savakis, Ioannis Sibetheros

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/833C2D2F-997B-4B85-A405-D08A85E2C4F8-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-319-14249-4_16-
Γλώσσαen-
Μέγεθος10 pagesen
ΤίτλοςStatistical estimation of fluid flow: an image restoration approachen
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
ΔημιουργόςKonstantia Moirogiorgouen
ΔημιουργόςAndreas E. Savakisen
Δημιουργός Ioannis Sibetherosen
ΕκδότηςSpringer Verlagen
ΠερίληψηThis paper focuses on Fluid Motion-Field Estimation from video data, which is a useful but challenging problem in environmental monitoring. Rivers are often monitored by flashy hydrographs that exhibit characteristic response times ranging from minutes to hours. In order to estimate the river discharge during a flush flood event, the temporary motion vector field of the river surface is needed. This paper presents a new approach in statistical estimation of fluid flow that calculates a local flow probability distribution function in the frequency domain. Our work improves upon the inefficiencies of spatial estimation of the auto-regressive STAR model and converts motion estimation into a restoration problem, where the local field can be computed fast in the frequency domain, while various natural constraints can be taken into account within the inversion strategy of the motion estimation process.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-25-
Ημερομηνία Δημοσίευσης2014-
Βιβλιογραφική ΑναφοράK. Moirogiorgou, M. Zervakis, A.E. Savakis, I. Sibetheros ,"Statistical estimation of fluid flow: an image restoration approach,"in 2014 10th Intern. Symp., ISVC ,pp.162-171.doi:10.1007/978-3-319-14249-4_16en

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