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| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> | ||
| <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> | ||
| <head> | ||
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> | ||
| <title>CNN Perspective on the Key Role of Visual Structural Information in Maritime Ships</title> | ||
| <!-- CSS --> | ||
| <link href='http://fonts.googleapis.com/css?family=Quicksand:300,400' rel='stylesheet' type='text/css'> | ||
| <link href='http://fonts.googleapis.com/css?family=Oxygen:400,300' rel='stylesheet' type='text/css'> | ||
| <link rel="stylesheet" href="css/style.css" type="text/css" media="screen" /> | ||
| <!-- ENDS CSS --> | ||
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| <!--script> | ||
| (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ | ||
| (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), | ||
| m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) | ||
| })(window,document,'script','https://www.google-analytics.com/analytics.js','ga'); | ||
| ga('create', 'UA-89797207-1', 'auto'); | ||
| ga('send', 'pageview'); | ||
| </script--> | ||
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| </head> | ||
| <body> | ||
| <!-- MAIN --> | ||
| <div id="main"> | ||
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| <div id="match-nav-wrapper"> | ||
| <div id="match-nav-bar"> | ||
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| <table> | ||
| <thead> | ||
| <tr> | ||
| <!--th width="10%"><a href="#">Home</a></th--> | ||
| <!--th width="30%"><a href="#video-explicit">Demonstration of the explicit method</a></th> | ||
| <th width="30%"><a href="#video-implicit">Demonstration of the implicit method</a></th--> | ||
| <!--th width="15%"></th--> | ||
| </tr> | ||
| </thead> | ||
| </table> | ||
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| </div> | ||
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| <!-- HEADER --> | ||
| <div id="home-header"> | ||
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| <!--h5><a href="#"><img src="image/logo.png"></a></h5--> | ||
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| <h2>SLPDR: A Benchmark For Ship License Plate Detection And Recognition</h2> | ||
| <center> | ||
| Youmei Zhang<sup>1</sup>, Junyu Chen<sup>1</sup>, Chenxing Wang<sup>1</sup>, Bin Li<sup>1</sup>, Mingxin Zhang<sup>1</sup>, Wei Zhang<sup>1*</sup> | ||
| </center> | ||
| <center> | ||
| <font size=2><sup>1</sup>School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences)  </font> | ||
| </center> | ||
| <center> | ||
| <font size=2><sup>2</sup>School of Control Science and Engineering, Shandong University  </font> | ||
| </center> | ||
| <br><strong>Abstract</strong> | ||
| <p style="text-align:justify; text-justify:inter-ideograph;"> | ||
| Ship identification is a prerequisite for the intelligent management of maritime transportation, yet existing research is limited to the overall detection and categorization of ships, and there is a lack of data and related research on ship identification. | ||
| Inspired by the research on vehicle license plates, we make the first attempt to propose the concept of ship license plate and construct the first ship license plate detection and recognition (SLPDR) dataset, which contains 88, 862 images and 1,420 instances. | ||
| In addition, this paper presents a state space attention based YOLO model, which effectively integrate global | ||
| information and local details for fast and accurate ship license plate detection. | ||
| Furthermore, we explore the application of ship license plate in intelligent maritime transportation, including ship identification, connecting images and ships and ship compliance assessment, which provides new ideas for intelligent management of maritime vessels. | ||
| </p> | ||
| <br> | ||
| <h1>Overview</h1> | ||
| <div id="match-teaser-img"><img src="image/chromatography.png"></div> | ||
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| <h1>Video demonstration</h1> | ||
| <iframe width="880" height="495" src="https://www.youtube.com/embed/FG7DbsFo3WE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> | ||
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| <br><br><br> | ||
| </div> | ||
| <!-- ENDS Footer --> | ||
| </body> | ||
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| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> | ||
| <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> | ||
| <head> | ||
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> | ||
| <title>SLPDR: A Benchmark For Ship License Plate Detection And Recognition</title> | ||
| <!-- CSS --> | ||
| <link href='http://fonts.googleapis.com/css?family=Quicksand:300,400' rel='stylesheet' type='text/css'> | ||
| <link href='http://fonts.googleapis.com/css?family=Oxygen:400,300' rel='stylesheet' type='text/css'> | ||
| <link rel="stylesheet" href="css/style.css" type="text/css" media="screen" /> | ||
| <!-- ENDS CSS --> | ||
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| <!--script> | ||
| (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ | ||
| (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), | ||
| m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) | ||
| })(window,document,'script','https://www.google-analytics.com/analytics.js','ga'); | ||
| ga('create', 'UA-89797207-1', 'auto'); | ||
| ga('send', 'pageview'); | ||
| </script--> | ||
|
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| <!-- ENDS JS --> | ||
| </head> | ||
| <body> | ||
| <!-- MAIN --> | ||
| <div id="main"> | ||
|
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| <div id="match-nav-wrapper"> | ||
| <div id="match-nav-bar"> | ||
|
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||
| <table> | ||
| <thead> | ||
| <tr> | ||
| <!--th width="10%"><a href="#">Home</a></th--> | ||
| <!--th width="30%"><a href="#video-explicit">Demonstration of the explicit method</a></th> | ||
| <th width="30%"><a href="#video-implicit">Demonstration of the implicit method</a></th--> | ||
| <!--th width="15%"></th--> | ||
| </tr> | ||
| </thead> | ||
| </table> | ||
|
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||
| </div> | ||
| </div> | ||
|
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| <!-- HEADER --> | ||
| <div id="home-header"> | ||
|
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||
| <div id="match-wrapper"> | ||
|
|
||
| <!--h5><a href="#"><img src="image/logo.png"></a></h5--> | ||
|
|
||
|
|
||
|
|
||
| <h2>SLPDR: A Benchmark For Ship License Plate Detection And Recognition</h2> | ||
| <center> | ||
| Youmei Zhang, Junyu Chen, Chenxing Wang, Bin Li, Mingxin Zhang, Wei Zhang | ||
| </center> | ||
| <center> | ||
| <font size=2>School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences)  </font> | ||
| </center> | ||
| <center> | ||
| <font size=2>School of Control Science and Engineering, Shandong University  </font> | ||
| </center> | ||
| <br><strong>Abstract</strong> | ||
| <p style="text-align:justify; text-justify:inter-ideograph;"> | ||
| Ship identification is a prerequisite for the intelligent management of maritime transportation, yet existing research is limited to the overall detection and categorization of ships, and there is a lack of data and related research on ship identification. | ||
| Inspired by the research on vehicle license plates, we make the first attempt to propose the concept of ship license plate and construct the first ship license plate detection and recognition (SLPDR) dataset, which contains 88, 862 images and 1,420 instances. | ||
| In addition, this paper presents a state space attention based YOLO model, which effectively integrate global | ||
| information and local details for fast and accurate ship license plate detection. | ||
| Furthermore, we explore the application of ship license plate in intelligent maritime transportation, including ship identification, connecting images and ships and ship compliance assessment, which provides new ideas for intelligent management of maritime vessels. | ||
| </p> | ||
| <br> | ||
| <h1>Overview</h1> | ||
| <div id="match-teaser-img"><img src="image/chromatography.png"></div> | ||
|
|
||
| <h1>Video demonstration</h1> | ||
| <iframe width="880" height="495" src="https://www.youtube.com/embed/FG7DbsFo3WE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> | ||
|
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| <br><br><br> | ||
| </div> | ||
| <!-- ENDS Footer --> | ||
| </body> | ||
| </html> |