Özdemir, B.Aksoy, S.Eckert, S.Pesaresi, M.Ehrlich, D.2016-02-082016-02-0820100167-8655http://hdl.handle.net/11693/22267We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. © 2009 Elsevier B.V. All rights reserved.EnglishMulti - criteria rankingObject detectionObject matchingPerformance evaluationShape modelingBuilding detectionArticle10.1016/j.patrec.2009.10.016