Template-guided inspection of arbitrarily oriented targets

Alexandropoulos, T; Boutas, S; Loumos, V; Kayafas, E

dc.contributor.author	Alexandropoulos, T	en
dc.contributor.author	Boutas, S	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T01:29:18Z
dc.date.available	2014-03-01T01:29:18Z
dc.date.issued	2008	en
dc.identifier.issn	1751-9632	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19205
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Signal detection	en
dc.subject.other	Change detection algorithms	en
dc.subject.other	Change detections	en
dc.subject.other	Change detectors	en
dc.subject.other	Illumination variations	en
dc.subject.other	Level fluctuations	en
dc.subject.other	Mutual informations	en
dc.subject.other	Noise fluctuations	en
dc.subject.other	Operation principles	en
dc.subject.other	Real-time applications	en
dc.subject.other	Structural distortions	en
dc.subject.other	Surveillance systems	en
dc.subject.other	System designs	en
dc.subject.other	Image registration	en
dc.title	Template-guided inspection of arbitrarily oriented targets	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/iet-cvi:20070025	en
heal.identifier.secondary	http://dx.doi.org/10.1049/iet-cvi:20070025	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	The performance of template-based inspection of randomly oriented targets relies on the effective operation of two procedures: image registration and change detection. Each procedure is characterised by its own challenges. Real-time applications require that image registration is performed in an acceptable time with accurate results, regardless of structural distortions. Change detection can be hindered by noise fluctuations and illumination variations. An additional challenge in template-guided change detection comes from the fact that the decision needs to be based on a comparison restricted to two frames. The operation principles of a template-guided change detector are analysed. Image registration is based on a wavelet-based method which employs mutual information. A block-based change detection algorithm, which separates content alterations from noise-level fluctuations, illumination variations and shadows, is also analysed. The principles presented are combined for the implementation of a sample template-guided undervehicle surveillance system. The architecture of the system and its experimental results are presented, and practical aspects and considerations regarding the system design are discussed. © 2008 The Institution of Engineering and Technology.	en
heal.publisher	INST ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IET Computer Vision	en
dc.identifier.doi	10.1049/iet-cvi:20070025	en
dc.identifier.isi	ISI:000260825400003	en
dc.identifier.volume	2	en
dc.identifier.issue	3	en
dc.identifier.spage	150	en
dc.identifier.epage	163	en