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Merge pull request #11498 from matech96:camshift_publication_date

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Alexander Alekhin 2018-05-11 06:47:15 +00:00
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doc/py_tutorials/py_video/py_meanshift/py_meanshift.markdown
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@ -101,7 +101,7 @@ Did you closely watch the last result? There is a problem. Our window always has
car is farther away and it is very close to camera. That is not good. We need to adapt the window car is farther away and it is very close to camera. That is not good. We need to adapt the window
size with size and rotation of the target. Once again, the solution came from "OpenCV Labs" and it size with size and rotation of the target. Once again, the solution came from "OpenCV Labs" and it
is called CAMshift (Continuously Adaptive Meanshift) published by Gary Bradsky in his paper is called CAMshift (Continuously Adaptive Meanshift) published by Gary Bradsky in his paper
"Computer Vision Face Tracking for Use in a Perceptual User Interface" in 1988. "Computer Vision Face Tracking for Use in a Perceptual User Interface" in 1998.
It applies meanshift first. Once meanshift converges, it updates the size of the window as, It applies meanshift first. Once meanshift converges, it updates the size of the window as,
\f$s = 2 \times \sqrt{\frac{M_{00}}{256}}\f$. It also calculates the orientation of best fitting ellipse \f$s = 2 \times \sqrt{\frac{M_{00}}{256}}\f$. It also calculates the orientation of best fitting ellipse