During foreign operations, Improvised Explosive Devices (IEDs) are one of major threats that soldiers may
unfortunately encounter along itineraries. Based on a vehicle-mounted camera, we propose an original approach
by image comparison to detect signicant changes on these roads. The classic 2D-image registration techniques
do not take into account parallax phenomena. The consequence is that the misregistration errors could be
detected as changes. According to stereovision principles, our automatic method compares intensity proles along
corresponding epipolar lines by extrema matching. An adaptive space warping compensates scale dierence in
3D-scene. When the signals are matched, the signal dierence highlights changes which are marked in current
video.
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