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

[+] Author Affiliations
Philip E. Robinson

University of Johannesburg, Faculty of Engineering and the Built Environment, Department of Electrical and Electronic Engineering Science, Corner Kingsway and University Road, PO Box 524, Auckland Park, Johannesburg 2006, South Africa

André L. Nel

University of Johannesburg, Faculty of Engineering and the Built Environment, Department of Mechanical Engineering, Corner Kingsway and University Road, PO Box 524, Auckland Park, Johannesburg 2006, South Africa

J. Electron. Imaging. 25(6), 063010 (Nov 30, 2016). doi:10.1117/1.JEI.25.6.063010
History: Received June 7, 2016; Accepted November 4, 2016
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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.

© 2016 SPIE and IS&T

Citation

Philip E. Robinson and André L. Nel
"Foreground segmentation in atmospheric turbulence degraded video sequences to aid in background stabilization", J. Electron. Imaging. 25(6), 063010 (Nov 30, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.6.063010


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