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index.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<link rel="stylesheet" type="text/css" href="styles.css">
<link rel="icon" type="image/svg+xml" href="media/favicon.svg">
<title>Barbell Tracker</title>
</head>
<body>
<nav id="site-navigation" class="site-navigation">
<ul class="main-menu clicky-menu no-js">
<li>
<a class="activePage" href="#">Home</a>
</li>
<li>
<a href="backgroundSubtraction.html">Background Subtraction</a>
</li>
<li>
<a href="meanshift.html">Meanshift</a>
</li>
<li>
<a href="camshift.html">Camshift</a>
</li>
</ul>
</nav>
<div class="divBody">
<h2>Barbell Tracker</h2>
<h3>Description</h3>
<a>This is an open source application aimed at wightlifters <br>
and powerlifters with <a class="github" target="_blank" href="https://www.scienceforsport.com/velocity-based-training/">VBT</a>
in mind, that provides video analysis <br> using OpenCV.js, with the following features implemented:</a><br><br>
<b>- <a>Barbell Path Tracker</a></b><br>
<b>- <a>Realtime Concentric Velocity</a></b><br>
<b>- <a>Realtime Acceleration</a></b><br>
<b>- <a>Realtime Horizontal Displacement</a></b><br><br>
<a>The main features are available under Background Subtraction, while Meanshift and <br>
Camshift are proof of concepts used only for tests. </a>
<h3>Instructions</h3>
Do the following for better results. <br><br>
<a>- Use a non reflective green sticker or object in one end of the barbell (Background Subtraction Method)</a><br>
<a>- Use a video with a low bitrate</a><br>
<a>- Trim video beforehand</a><br><br>
<a>- Background Subtraction automatically identifies the green point in the video.</a><br>
<a>Just load the file and click "analyze".</a><br><br>
<a>- For Meanshift and Camshift, load the video,</a><br>
<a>click "analyze" and draw a bounding box around the barbell.</a><br>
<br><br><br><a class="github" target="_blank" href="https://github.com/wdiasjunior/BarbellTracker">GitHub Repository</a>
</div>
</body>
</html>