Print Email Facebook Twitter Sequential and Automatic Image-Sequence Registration of Road Areas Monitored from a Hovering Helicopter Title Sequential and Automatic Image-Sequence Registration of Road Areas Monitored from a Hovering Helicopter Author Nejadasl, F.K. Linderbergh, R.C. Faculty Civil Engineering and Geosciences Department Geoscience & Remote Sensing Date 2014-09-05 Abstract In this paper, we propose an automatic and sequential method for the registration of an image sequence of a road area without ignoring scene-induced motion. This method contributes to a larger work, aiming at vehicle tracking. A typical image sequence is recorded from a helicopter hovering above the freeway. The demand for automation is inevitable due to the large number of images and continuous changes in the traffic situation and weather conditions. A framework is designed and implemented for this purpose. The registration errors are removed in a sequential way based on two homography assumptions. First, an approximate registration is obtained, which is efficiently refined in a second step, using a restricted search area. The results of the stabilization framework are demonstrated on an image sequence consisting of 1500 images and show that our method allows a registration between arbitrary images in the sequence with a geometric error of zero in pixel accuracy. Subject image sequence stabilizationregistrationsequential error removalhomographyOA-Fund TU Delft To reference this document use: http://resolver.tudelft.nl/uuid:a0aa7e82-cd63-4a97-b03d-db7ac106e93b DOI https://doi.org/10.3390/s140916630 Publisher MDPI ISSN 1424-8220 Source http://www.mdpi.com/1424-8220/14/9/16630 Source Sensors, 14 (9), 2014 Part of collection Institutional Repository Document type journal article Rights (c) 2014 The Author(s)This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). Files PDF Lindenbergh_2014.pdf 6.41 MB Close viewer /islandora/object/uuid:a0aa7e82-cd63-4a97-b03d-db7ac106e93b/datastream/OBJ/view