Predicting Boat-Generated Wave Heights: A Quantitative Analysis through Video Observations of Vessel Wakes

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
May 18, 2012
Accession Number
ADA571742

Entities

People

  • Sam W. Tan

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Coastal Engineering
  • Computer Vision
  • Computers
  • Data Sets
  • Databases
  • Detection
  • Engineers
  • Environment
  • Frequency Shift
  • Geometry
  • Image Processing
  • Measurement
  • Naval Architecture
  • Spreadsheet Software
  • Transducers
  • United States Naval Academy

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.
  • Maritime Security/Maritime Homeland Security

Technology Areas

  • AI & ML