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Proceedings Paper

Line matching for automatic change detection algorithm
Author(s): Jérôme Dhollande; David Monnin; Laetitia Gond; Christophe Cudel; Sophie Kohler; Alain Dieterlen
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Paper Abstract

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.

Paper Details

Date Published: 10 May 2012
PDF: 14 pages
Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571L (10 May 2012); doi: 10.1117/12.919856
Show Author Affiliations
Jérôme Dhollande, Institut Franco-Allemand de Recherches de Saint-Louis (France)
David Monnin, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Laetitia Gond, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Christophe Cudel, Univ. de Haute Alsace (France)
Sophie Kohler, Univ. de Haute Alsace (France)
Alain Dieterlen, Univ. de Haute Alsace (France)


Published in SPIE Proceedings Vol. 8357:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
J. Thomas Broach; John H. Holloway, Editor(s)

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