title: OpenCV traffic sign recognition
body: <p>I'm coding a software (for my studies) for traffic sign recognition with an IP Camera.For a moment, I have to recognise traffic signs like this:
  <a href="https://i.stack.imgur.com/yOTZb.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/yOTZb.jpg" alt="enter image description here"></a></p>
  
  <p>In my code, I'm doing a high transformation to isolate my traffic sign with a mask.</p>
  
  <p>Then, I do a SURF comparison (with a modified sample of the OpenCV documentation of SURF) of scene image with a few images of different traffic signs (30,50,70,90).</p>
  
  <p>I give you an example of my object reference: <a href="http://www.noelshack.com/2015-05-1422561271-object-exemple.jpg" rel="nofollow noreferrer">http://www.noelshack.com/2015-05-1422561271-object-exemple.jpg</a></p>
  
  <p>My questions are:</p>
  
  <ul>
  <li><p>Is my "way to do" is right? Is SURF really adapted here because it seems that it uses a lot of resources..</p></li>
  <li><p>I have false positives (when i compare 30 in object with 50 in the scene for example) , how to reduce it ?</p></li>
  </ul>