False discovery rate approach to image change detection - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

False discovery rate approach to image change detection

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.
Fichier principal
Vignette du fichier
krylovICIP13.pdf (1.63 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00841236 , version 1 (21-09-2013)

Identifiers

  • HAL Id : hal-00841236 , version 1

Cite

Vladimir Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia. False discovery rate approach to image change detection. IEEE International Conf. on Image Processing (ICIP), Sep 2013, Melbourne, Australia. ⟨hal-00841236⟩
292 View
233 Download

Share

Gmail Facebook X LinkedIn More