Line matching for automatic change detection algorithm

Jérôme Dhollande; David Monnin; Laetitia Gond; Christophe Cudel; Sophie Kohler; Alain Dieterlen

doi:10.1117/12.919856

10 May 2012 Line matching for automatic change detection algorithm

Jérôme Dhollande, David Monnin, Laetitia Gond, Christophe Cudel, Sophie Kohler, Alain Dieterlen

Proceedings Volume 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII; 83571L (2012) https://doi.org/10.1117/12.919856
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Jérôme Dhollande, David Monnin, Laetitia Gond, Christophe Cudel, Sophie Kohler, and Alain Dieterlen "Line matching for automatic change detection algorithm", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571L (10 May 2012); https://doi.org/10.1117/12.919856

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