Performance measures for object detection evaluation
Date
2010
Authors
Özdemir, B.
Aksoy, S.
Eckert, S.
Pesaresi, M.
Ehrlich, D.
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Abstract
We 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.
Source Title
Pattern Recognition Letters
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Elsevier BV
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Language
English