In this study, a new method of conducting vessel wake studies using video observations was evaluated. Using a remote web-based camera, vessel traffic along a section of the Severn River in Annapolis, MD, was recorded and subsequently processed using a newly developed vessel tracking tool. This tracking tool brings together computer vision techniques to track transiting vessels and obtain boat parameters usually investigated in vessel wake studies. When matched with wave records obtained using an underwater wave gage, these measurements create a new database from which relationships between vessel size, boating speeds, and their associated maximum wake heights can be examined.
Predicting Boat-Generated Wave Heights: A Quantitative Analysis through Video Observations of Vessel Wakes
2012
115 pages
Report
No indication
English
Hydrology & Limnology , Marine Engineering , Water waves , Boats , Depth , Froude number , Height , Length , Mathematical prediction , Position(Location) , Underwater tracking , Velocity , Video recording , Volume , Wake , Camera calibration , Vessel sizes , Vessel tracking , Vessel wakes , Vessel-generated wake , Video observations of vessel traffic , Wave heights , Wavelet analysis
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