Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536088 | Pattern Recognition Letters | 2010 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Bahadır Özdemir, Selim Aksoy, Sandra Eckert, Martino Pesaresi, Daniele Ehrlich,