Performance measures for object detection evaluation

被引：33

作者：

Ozdemir, Bahadir ^{[1
]}

Aksoy, Selim ^{[1
]}

Eckert, Sandra ^{[2
]}

Pesaresi, Martino ^{[2
]}

Ehrlich, Daniele ^{[2
]}

机构：

[1] Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey

[2] European Commiss, Joint Res Ctr, Inst Protect & Secur Citizen, I-21020 Ispra, VA, Italy

来源：

PATTERN RECOGNITION LETTERS | 2010年 / 31卷 / 10期

关键词：

Performance evaluation; Object detection; Object matching; Shape modeling; Multi-criteria ranking; COMPUTER VISION; EMPIRICAL-EVALUATION; ALGORITHMS;

D O I：

10.1016/j.patrec.2009.10.016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1128 / 1137

页数：10

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