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index.html
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<!DOCTYPE HTML>
<!--
Alpha by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>SafeDrive</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
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<body class="landing">
<div id="page-wrapper">
<!-- Header -->
<header id="header" class="alt">
<h1><a href="index.html">Alpha</a> by HTML5 UP</h1>
</header>
<!-- Banner -->
<section id="banner">
<h2>M4 Team 1. SafeDrive</h2>
<p>Road traffic surveillance and monitoring system</p>
<ul class="actions">
<li><a href="https://docs.google.com/presentation/d/1NZLTL-QDq9m6DN5pzyP7y-NhgoAymA5-76OgPpYTE44/edit?usp=sharing" class="button special">Presentation slides</a></li>
<li><a href="https://github.com/mcv-m4-video/mcv-m4-2017-team1" class="button">Source code</a></li>
<li><a href="https://github.com/mcv-m4-video/mcv-m4-2017-team1/blob/master/m4-t1-report.pdf" class="button">Paper</a></li>
</ul>
</section>
<!-- Main -->
<section id="main" class="container">
<section class="box special">
<header class="major">
<h2> Using computer vision as a tool in the roads </h2>
<p>Our solution detects, tracks and monitors the velocity of cars in a road in order to prevent any possible accidents or any exceeded speed limitations.</p>
</header>
<span class="image featured"><img width="1200" height="500" src="images/first.jpg" alt="" /> <div class="topleft"><font size="2">Banner image source: http://bsnscb.com <br>Image source: http://www.walldevil.com</font></div></span>
<p> The goal of our system is to improve the safety of different roads anywhere in the world, where speeding causes thousands of deaths every year.
We have developed a prototype system in Matlab that allows us to detect, track and estimate the velocity of cars within a road. Other measures we can provide are:
<ul>
<li>The current density of the road (low, medium or high)</li>
<li>The number of cars in each lane</li>
<li>Instant photos of cars which surpass speed limitation</li>
</ul>
</p>
</section>
<section class="box special features">
<div class="features-row">
<section>
<span class="icon major fa-check-square accent2"></span>
<h3>Vehicle detection</h3>
<p>
<ul><li>Performing a background/foreground segmentation of every frame in the video we are able to separate moving cars from static road background.</li>
<li>Background is modeled with a single adaptive Gaussian model per pixel.</li>
<li>This block outputs a binary segmented image, refined with morphological operators to eliminate noise and fix disconnected regions.</li>
</ul></p>
</section>
<section>
<span class="icon major fa-car accent3"></span>
<h3>Vehicle tracking</h3>
<p><ul><li>To obtain a correct road geometry homography is applied to the segmented and original images. </li>
<li>After detecting blobs in the refined binary segmented image, Kalman filters are applied to track the cars.</li>
<li>A cost function is defined to decide whether a detection is part of a previous tracked car or not.</li></ul></p>
</section>
</div>
<div class="features-row">
<section>
<span class="icon major fa-forward accent4"></span>
<h3>Speed control</h3>
<p><ul><li>Defining a relation between pixels/meters and frames/seconds, speed can be estimated following the tracked car coordinates.</li>
<li>An ID and the speed of each car is presented in the final system, together with a bounding box following the car</li></ul></p>
</section>
<section>
<span class="icon major fa-area-chart accent3"></span>
<h3>Statistical report</h3>
<p>The final statistics we can obtain are:
<ul>
<li> Density of the road at each frame</li>
<li> Number of cars in each lane at each frame</li>
<li> Total number of cars in a sequence </li>
<li> Total number and the images of cars which have exceeded the speed limit </li>
</ul>
</section>
</div>
</section>
<div class="row">
<div class="6u 12u(narrower)">
<section class="box special">
<span class="image featured"><img width="576" height="256" src="images/highway.jpg" alt="" /></span>
<h3>Our results on ChangeDetection Video Database</h3>
<p>Toy examples with a highway and a jitter sequence</p>
<ul class="actions">
<li><a href="dataset_videos.html" class="button alt">Learn More</a></li>
</ul>
</section>
</div>
<div class="6u 12u(narrower)">
<section class="box special">
<span class="image featured"><img width="576" height="256" src="images/ronda.png" alt="" /></span>
<h3>Our results on a recorded video</h3>
<p><br>The video has been recorded in Barcelona during the day</p>
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<li><a href="custom_videos.html" class="button alt">Learn More</a></li>
</ul>
</section>
</div>
</div>
</section>
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<h2>Contact us</h2>
<ul class="icons">
<li> Arantxa Casanova <br/><a href="https://www.linkedin.com/in/arantxa-casanova-pag%C3%A0-619834138" class="icon fa-linkedin"><span class="label">LinkedIn</span></a></li>
<li>Sergio Castro<br/><a href="https://www.linkedin.com/in/sergio-castro-036a2783" class="icon fa-linkedin"><span class="label">LinkedIn</span></a></li>
<li>Belén Luque <br/><a href="https://es.linkedin.com/in/bel%25C3%25A9n-luque-l%25C3%25B3pez-ab5046bb" class="icon fa-linkedin"><span class="label">LinkedIn</span></a></li>
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