Foreground segmentation in atmospheric turbulence degraded video sequences to aid in background stabilization

Philip E Robinson; Andre L. Nel

doi:10.1117/1.JEI.25.6.063010

30 November 2016 Foreground segmentation in atmospheric turbulence degraded video sequences to aid in background stabilization

Philip E Robinson, Andre L. Nel

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 6, 063010 (November 2016). https://doi.org/10.1117/1.JEI.25.6.063010

Abstract

Video sequences captured over a long range through the turbulent atmosphere contain some degree of atmospheric turbulence degradation (ATD). Stabilization of the geometric distortions present in video sequences containing ATD and containing objects undergoing real motion is a challenging task. This is due to the difficulty of discriminating which part of visible motion is real motion and which part is caused by ATD warping. Due to this, most stabilization techniques applied to ATD sequences distort real motion in the sequence. We propose a method to classify foreground regions in ATD video sequences. This classification is used to stabilize the background of the scene while preserving objects undergoing real motion by compositing them back into the sequence. A hand-annotated dataset of three ATD sequences is produced with which the performance of this approach can be quantitatively measured and compared against the current state of the art.

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Philip E Robinson and Andre L. Nel "Foreground segmentation in atmospheric turbulence degraded video sequences to aid in background stabilization," Journal of Electronic Imaging 25(6), 063010 (30 November 2016). https://doi.org/10.1117/1.JEI.25.6.063010

Published: 30 November 2016

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