V. Krylov, G. Moser, S. B. Serpico, J. Zerubia. "False discovery rate approach to image change detection",
IEEE International Conference on Image Processing 2013,
Proc. of IEEE ICIP 2013, pp. 3820-3824, Melbourne (Australia), September 15-18, 2013.
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Abstract
In this paper we address the problem of unsupervised change detection on image pairs. We develop a novel patch-based hypothesis testing approach that employs the false discovery rate technique for statistical hypothesis testing. The designed approach can be adopted to specific detection applications via selection of appropriate statistical features. Experiments with still camera imagery demonstrate high performance and flexibility of the proposed method.
Bibtex
@INPROCEEDINGS{KrylovICIP13,
author = {Krylov, V. and Moser, G. and Serpico, S. B. and Zerubia, J.},
title = {False discovery rate approach to image change detection},
year = {2013},
booktitle = {Proc. of IEEE ICIP},
pages = {3820--3824},
address = {Melbourne, Australia}
}