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Performance measures for object detection evaluation
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DOI：10.1016/j.patrec.2009.10.016.png)
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Abstract
En 中文
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. (C) 2009 Elsevier B.V. All rights reserved.
Keywords:
Performance evaluation
Object detection
Object matching
Shape modeling
Multi-criteria ranking
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