title: Improved locally adaptive least-squares detection of differences in images.
abstract: We introduce a method for change detection under nonuniform changes of intensity using an improved least-squares method. A locally adaptive normalizing window is correlated with the two images, and a morphological postprocessing is then applied to isolate objects that have been added or removed from the scene. We use a modification of the least-squares solution to get rid of clutter caused by intensity changes that do not satisfy the model assumed for the least-squares solution.
authors.affiliation: Department of Physics, Université Laval, Ste-Foy, QC, G1K 7P4, Canada.
authors.forename: Abdellatif
authors.initials: A
authors.lastname: Gherabi
authors.forename: Henri H
authors.initials: HH
authors.lastname: Arsenault
authors.forename: Pascuala
authors.initials: P
authors.lastname: García-Martínez