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Proceedings Paper

Surveillance in long-distance turbulence-degraded videos
Author(s): Yitzhak Yitzhaky; Eli Chen; Oren Haik
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Paper Abstract

Surveillance in long-distance turbulence-degraded video is a difficult challenge because of the effects of the atmospheric turbulence that causes blur and random shifts in the image. As imaging distances increase, the degradation effects become more significant. This paper presents a method for surveillance in long-distance turbulence-degraded videos. This method is based on employing new criteria for discriminating true from false object detections. We employ an adaptive thresholding procedure for background subtraction, and implement new criteria for distinguishing true from false moving objects, that take into account the temporal consistency of both shape and motion properties. Results show successful detection also tracking of moving objects on challenging video sequences, which are significantly distorted with atmospheric turbulence. However, when the imaging distance is increased higher false alarms may occur. The method presented here is relatively efficient and has low complexity.

Paper Details

Date Published: 15 October 2013
PDF: 6 pages
Proc. SPIE 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 889704 (15 October 2013); doi: 10.1117/12.2028853
Show Author Affiliations
Yitzhak Yitzhaky, Ben-Gurion Univ. of the Negev (Israel)
Eli Chen, Ben-Gurion Univ. of the Negev (Israel)
Oren Haik, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 8897:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
Gary W. Kamerman; Gary J. Bishop; John D. Gonglewski; Ove K. Steinvall, Editor(s)

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