Detecting Changes in Spatial-Temporal Image Data Based on Quadratic Forms

被引:4
|
作者
Prause, Annabel [1 ]
Steland, Ansgar [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Stat, Wuellnerstr 3, Aachen, Germany
关键词
D O I
10.1007/978-3-319-13881-7_16
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider the problem to monitor a sequence of images that may be affected by spatial as well as temporal dependencies. In order to detect a change, we consider a detector based on linear combinations of quadratic forms, thus allowing to consider linear contrasts of subimages in terms of their average grey value. We derive the asymptotic distribution of the proposed detector and the underlying empirical processes under the no-change null hypothesis and general alternatives.
引用
收藏
页码:139 / 147
页数:9
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