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    $\begingroup$ I voted to close this because it's an unbounded design problem (you don't have a problem, you're just looking for advice). That said, the key phrase that I think will get you started is called structure from motion. Basically, the pixel location only corresponds to an angle based on the camera transform. You need to know angle and depth to get a real x/y coordinate. $\endgroup$ Commented Jan 22, 2016 at 22:25
  • $\begingroup$ The problem I need resolved is one of noise removal and estimation of multiple signals at the same time. I'm searching for help on resolving that issue, don't get why you call it an unbounded design problem. And what you proposed is actually the part that I already solved since I wrote that I already converted the position of the target in order to the world referencial frame. $\endgroup$ Commented Jan 23, 2016 at 12:23
  • $\begingroup$ Can you please revise your question to include how you are currently getting measurements? The way that I had read your question, I thought you had an aerial vehicle with known X/Y/Z/$\theta$ and a camera, and with nothing else and only 1 frame you were trying to determine the X/Y/Z of ground targets, which isn't possible unless you have more information. What method are you using to determine ground coordinates? What kind of noise or measurement error are you seeing? $\endgroup$ Commented Jan 24, 2016 at 0:10
  • $\begingroup$ I added more info as you asked. $\endgroup$ Commented Jan 24, 2016 at 11:47