Instead of using rate gyroscopes to predict camera motion in a frame, we attempt to estimate this information from the video input by analysing the motion blur present in a single video frame. By looking at the parts of the image which remain un-blurred, blur direction and magnitude can be determined very quickly (just over 2 milliseconds per frame on a 2.4GHz machine). This method only produces a 3-DOF answer and has a sign ambiguity; also the magnitude of blur is often inaccurate. However the system can usefully be combined with edge tracking. This work won the Industry Prize at BMVC 2005.
[Prizewinning 2005 BMVC Paper]
[Prizewinning 2005 BMVC Paper]
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