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    <p>This is a surprisingly complicated topic of ongoing research in the field of Computer Vision. There are many good academic papers written on the topic (<a href="http://www.youtube.com/watch?v=cMv-McHw660" rel="nofollow noreferrer">heres a nice video</a>) and no publicly available turnkey solutions.</p> <p>I dont think core image currently supports this kind of functionality nor will it in the near future.</p> <p>However your best bet is to start by checking out the now well established <a href="http://opencv.org/" rel="nofollow noreferrer">OpenCV</a> library maintained by Willow Garage for all major operating systems (including iOS and Android). The following link might help you towards what you are looking for:</p> <p><a href="http://www.intorobotics.com/how-to-detect-and-track-object-with-opencv/" rel="nofollow noreferrer">OpenCV object detection tutorials</a></p> <p>Alternatively you could try out augmented reality toolkits designed specifically for tracking known targets. Some good examples are:</p> <p><a href="http://www.metaio.com/" rel="nofollow noreferrer">Metaio</a>, <a href="http://www.qualcomm.com/solutions/augmented-reality" rel="nofollow noreferrer">Vuforia</a>, <a href="http://www.arlab.com/" rel="nofollow noreferrer">ARLab</a>, <a href="http://www.poweredbystring.com/" rel="nofollow noreferrer">String</a>, <a href="http://www.junaio.com/" rel="nofollow noreferrer">Junaio</a></p> <p><strong>EDIT, Nov 2016</strong></p> <p>Although CoreImage still does not support this, it is somewhat more likely that it may support it in the future. Recent years have seen a dramatic increase in the availability of object detection frameworks that use deep networks to perform object classification and localization. A good first place to start would be to look at projects that use TensorFlow for Android and iOS. </p> <p><a href="https://github.com/yjmade/ios_camera_object_detection" rel="nofollow noreferrer">One such link.</a></p> <p><strong>EDIT, Dec 2017</strong> This is now fairly standard across all major mobile and desktop computing platforms (amazing how much changes in only 1 year). Specifically for Apple you can look at <a href="https://developer.apple.com/documentation/coreml" rel="nofollow noreferrer">CoreML</a></p>
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    1. COSaying that, you might find that CoreImage provides much faster implementations of some filter operations provided by OpenCV - just not very many of them,
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    2. COI'm also working on some GPU-accelerated template matching functions in my framework here: https://github.com/BradLarson/GPUImage , but aside from the corner and line detectors in there now, I don't make much functional yet.
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