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CVIU
2007

Background estimation under rapid gain change in thermal imagery

8 years 11 months ago
Background estimation under rapid gain change in thermal imagery
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow over time to maintain a model of background appearance and a foreground occlusion layer mask. However, the automatic gain control of the thermal sensor introduces rapid changes in intensity that makes this difficult. In this paper we show that an intensity-clipped affine model of sensor gain is sufficient to describe the behavior of our thermal sensor. We develop a method for gain estimation and compensation that uses sparse flow of corner features to compute the affine background scene motion that brings pairs of frames into alignment prior to estimating change in pixel brightness. Dense optic flow and background appearance modeling is then performed on these motioncompensated and brightness-compensated frames. Experimental results demonstrate that the resulting algorithm can segment ground vehicles f...
Hulya Yalcin, Robert T. Collins, Martial Hebert
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CVIU
Authors Hulya Yalcin, Robert T. Collins, Martial Hebert
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