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    <p>What you need is a model-based tracker/6DOF object tracker. As you want to track a car, it will certainly be featureless (or you will only get sparse features), so you should look at textureless non planar 3D (object) tracking solutions. </p> <p>It's pretty much state of the art right now (lot of research, few products/SDK), but using library like OpenCV and with the appropriate literature (see below) you should be able to develop one. You can look at an open-source solution like the <a href="http://www.irisa.fr/lagadic/visp/visp.html" rel="nofollow">ViSP</a> library which has a module for model based tracker but not an official iOS port. for commercial libraries, closest will be AR libraries supporting SLAM or "3D object tracking".</p> <p>In term of techniques, you have different way to handle this problem, some pointers:</p> <ul> <li><p>You can use a model-based tracker relying on edge detection + initial CAD model of the object: <a href="https://smartech.gatech.edu/bitstream/handle/1853/46853/3D%20Textureless%20Object%20Detection%20and%20Tracking%20An%20Edge-based%20Approach.pdf?sequence=1" rel="nofollow">3D Textureless Object Detection and Tracking: An Edge-based Approach</a> or <a href="http://av.dfki.de/publications_2007/real-time-vision-based-tracking-and-reconstruction" rel="nofollow">Harald Wuest, Folker Wientapper, Didier Stricker Adaptable Model-based Tracking Using Analysis-by-Synthesis Techniques The 12th International Computer Analysis of Images and Patterns (CAIP), 27-29th August 2007, Vienna, Austria.</a> </p></li> <li><p>You can use a model-based tracker relying on edge detection + (trained) template images </p></li> <li><p>You can use some SLAM techniques combined with a model based tracker. <a href="http://ypcex.naist.jp/trakmark/workshop11/2011wsproc/pdfs/Tamaazousti.pdf" rel="nofollow">M. Tamaazousti, V. Gay-Bellile, S. Naudet Collette, S. Bourgeois, M. Dhome Real-Time Accurate Localization in a Partially Known Environment:Application to Augmented Reality on textureless 3D Objects. TrakMark 2011, Basel, Switzerland 26-29/10/2011</a></p></li> <li><p>if your system will only run indoor, you can look at some RGBD tracker <a href="http://cvlabwww.epfl.ch/~lepetit/papers/hinterstoisser_accv12.pdf" rel="nofollow">S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, N. Navab Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes Asian Conference on Computer Vision (ACCV), Korea, Daejeon, November 2012</a> (access to the <a href="http://campar.in.tum.de/personal/hinterst/index/downloads.html" rel="nofollow">software</a>)</p></li> </ul>
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