Paper Info
Title
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.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738787
Image Processing
Keywords
Field
DocType
cameras,feature selection,image processing,object detection,statistical testing,false discovery rate approach,image change detection,image pairs,patch-based hypothesis testing approach,statistical features selection,statistical hypothesis testing,still camera imagery,unsupervised change detection,Change detection,false discovery rate,statistical hypothesis testing,still camera
Object detection,Computer vision,False discovery rate,Change detection,Feature detection (computer vision),Feature selection,Pattern recognition,Computer science,Image processing,Still camera,Artificial intelligence,Statistical hypothesis testing
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.36
References 
Authors
7
4
Name
Order
Citations
PageRank
Vladimir A. Krylov113314.81
Gabriele Moser291976.92
Serpico, S.B.356048.52
Josiane Zerubia42032232.91