Background modeling for moving object detection in long-distance imaging through turbulent medium.

@article{Elkabetz2014BackgroundMF,
  title={Background modeling for moving object detection in long-distance imaging through turbulent medium.},
  author={Adiel Elkabetz and Yitzhak Yitzhaky},
  journal={Applied optics},
  year={2014},
  volume={53 6},
  pages={1132-41}
}
A basic step in automatic moving objects detection is often modeling the background (i.e., the scene excluding the moving objects). The background model describes the temporal intensity distribution expected at different image locations. Long-distance imaging through atmospheric turbulent medium is affected mainly by blur and spatiotemporal movements in the image, which have contradicting effects on the temporal intensity distribution, mainly at edge locations. This paper addresses this… CONTINUE READING

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