A computer vision system for monitoring vessel motion in conjunction with vessel wake measurements
This study seeks to establish a new and efficient method of conducting vessel wake studies by means of a vision-based vessel tracking tool that computes vessel parameters such as speed and length. When correlated with wave height measurements, the data facilitates a unified formulation of equations...
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| creator | Tan, S. Piepmeier, J. A. Kriebel, D. L. |
| description | This study seeks to establish a new and efficient method of conducting vessel wake studies by means of a vision-based vessel tracking tool that computes vessel parameters such as speed and length. When correlated with wave height measurements, the data facilitates a unified formulation of equations to calculate ship-generated wave heights over a broader range of vessel sizes and boating speeds than previous models. Using this tool, a sizable database of vessel types and wave height measurements are acquired to provide additional data points to improve existing prediction models. |
| doi_str_mv | 10.1109/ACSSC.2012.6489352 |
| format | Conference Proceeding |
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L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tan, S.</au><au>Piepmeier, J. A.</au><au>Kriebel, D. L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A computer vision system for monitoring vessel motion in conjunction with vessel wake measurements</atitle><btitle>2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)</btitle><stitle>ACSSC</stitle><date>2012-11</date><risdate>2012</risdate><spage>1830</spage><epage>1834</epage><pages>1830-1834</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>9781467350501</isbn><isbn>1467350508</isbn><eisbn>1467350494</eisbn><eisbn>9781467350495</eisbn><eisbn>1467350516</eisbn><eisbn>9781467350518</eisbn><abstract>This study seeks to establish a new and efficient method of conducting vessel wake studies by means of a vision-based vessel tracking tool that computes vessel parameters such as speed and length. When correlated with wave height measurements, the data facilitates a unified formulation of equations to calculate ship-generated wave heights over a broader range of vessel sizes and boating speeds than previous models. Using this tool, a sizable database of vessel types and wave height measurements are acquired to provide additional data points to improve existing prediction models.</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.2012.6489352</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1058-6393 |
| ispartof | 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012, p.1830-1834 |
| issn | 1058-6393 2576-2303 |
| language | eng |
| recordid | cdi_ieee_primary_6489352 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | vision-based vessel tracking wave measurements |
| title | A computer vision system for monitoring vessel motion in conjunction with vessel wake measurements |
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