An industrial video surveillance system for quality assurance of a manufactory assembly

Sardis, E; Voulodimos, A; Anagnostopoulos, V; Lalos, C; Doulamis, A; Kosmopoulos, D

dc.contributor.author	Sardis, E	en
dc.contributor.author	Voulodimos, A	en
dc.contributor.author	Anagnostopoulos, V	en
dc.contributor.author	Lalos, C	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kosmopoulos, D	en
dc.date.accessioned	2014-03-01T02:46:41Z
dc.date.available	2014-03-01T02:46:41Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32780
dc.subject	Behavior recognition	en
dc.subject	Object tracking and detection	en
dc.subject	Relevance feedback	en
dc.subject	Surveillance.	en
dc.subject.other	Adaptation mechanism	en
dc.subject.other	Behavior recognition	en
dc.subject.other	Computer vision system	en
dc.subject.other	Environmental change	en
dc.subject.other	Industrial environments	en
dc.subject.other	Object Tracking	en
dc.subject.other	Proposed architectures	en
dc.subject.other	Real-life applications	en
dc.subject.other	Relevance feedback	en
dc.subject.other	Surveillance.	en
dc.subject.other	Video surveillance systems	en
dc.subject.other	Computer vision	en
dc.subject.other	Feedback	en
dc.subject.other	Monitoring	en
dc.subject.other	Quality assurance	en
dc.subject.other	Security systems	en
dc.subject.other	Learning algorithms	en
dc.title	An industrial video surveillance system for quality assurance of a manufactory assembly	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1839294.1839373	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1839294.1839373	en
heal.identifier.secondary	66	en
heal.publicationDate	2010	en
heal.abstract	In this paper, we present the research achievements of a computer vision system that surveys the behavior of workers in an industrial environment. The proposed system applies weakly supervised learning algorithms able to detect objects, then to extract the behaviors of workers with respect to the predefined assembly construction for a task and adopts adaptation mechanisms able to dynamically modified the performance of a system with respect to the environmental changes. The proposed architecture has been tested on real-life applications. Copyright © 2010 ACM.	en
heal.journalName	ACM International Conference Proceeding Series	en
dc.identifier.doi	10.1145/1839294.1839373	en