Tools for semi-automatic monitoring of industrial workflows

Morzinger, R; Thaler, M; Rene, S; Albert, H; Thallinger, G; Sardis, M; Anagnostopoulos, V; Kosmopoulos, D; Voulodimos, A; Lalos, C; Doulamis, N; Varvarigou, T; Rosenberg, I; Zelada, RP; Jubert, IS; Grabner, H; Stalder, S; Van Gool, L; Veres, G; Middleton, L; Sabeur, Z; Bouchrika, I; Arbab-Zavar, B; Carter, J; Nixon, M

dc.contributor.author	Morzinger, R	en
dc.contributor.author	Thaler, M	en
dc.contributor.author	Rene, S	en
dc.contributor.author	Albert, H	en
dc.contributor.author	Thallinger, G	en
dc.contributor.author	Sardis, M	en
dc.contributor.author	Anagnostopoulos, V	en
dc.contributor.author	Kosmopoulos, D	en
dc.contributor.author	Voulodimos, A	en
dc.contributor.author	Lalos, C	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Varvarigou, T	en
dc.contributor.author	Rosenberg, I	en
dc.contributor.author	Zelada, RP	en
dc.contributor.author	Jubert, IS	en
dc.contributor.author	Grabner, H	en
dc.contributor.author	Stalder, S	en
dc.contributor.author	Van Gool, L	en
dc.contributor.author	Veres, G	en
dc.contributor.author	Middleton, L	en
dc.contributor.author	Sabeur, Z	en
dc.contributor.author	Bouchrika, I	en
dc.contributor.author	Arbab-Zavar, B	en
dc.contributor.author	Carter, J	en
dc.contributor.author	Nixon, M	en
dc.date.accessioned	2014-03-01T02:52:47Z
dc.date.available	2014-03-01T02:52:47Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36062
dc.subject	Applications	en
dc.subject	Computer vision	en
dc.subject	Human detection and tracking	en
dc.subject	Industrial environments	en
dc.subject	Workflow recognition	en
dc.subject.other	Adjusting algorithm	en
dc.subject.other	Automatic Detection	en
dc.subject.other	Car assembly	en
dc.subject.other	Complex workflows	en
dc.subject.other	Ground truth	en
dc.subject.other	Human detection	en
dc.subject.other	Human operator	en
dc.subject.other	Industrial environments	en
dc.subject.other	Industrial safety	en
dc.subject.other	Multiple cameras	en
dc.subject.other	Process quality	en
dc.subject.other	Relevance feedback	en
dc.subject.other	Retrospective analysis	en
dc.subject.other	Semi-automatics	en
dc.subject.other	Work-flows	en
dc.subject.other	Workflow monitoring	en
dc.subject.other	Workflow recognition	en
dc.subject.other	Accident prevention	en
dc.subject.other	Cameras	en
dc.subject.other	Computer applications	en
dc.subject.other	Computer vision	en
dc.subject.other	Feedback	en
dc.subject.other	Industry	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Risk management	en
dc.subject.other	Equipment	en
dc.title	Tools for semi-automatic monitoring of industrial workflows	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1877868.1877889	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1877868.1877889	en
heal.publicationDate	2010	en
heal.abstract	This paper describes a tool chain for monitoring complex workflows. Statistics obtained from automatic workflow monitoring in a car assembly environment assist in improving industrial safety and process quality. To this end, we propose automatic detection and tracking of humans and their activity in multiple networked cameras. The described tools offer human operators retrospective analysis of a huge amount of pre-recorded and analyzed footage from multiple cameras in order to get a comprehensive overview of the workflows. Furthermore, the tools help technical administrators in adjusting algorithms by letting the user correct detections (for relevance feedback) and ground truth for evaluation. Another important feature of the tool chain is the capability to inform the employees about potentially risky conditions using the tool for automatic detection of unusual scenes.	en
heal.journalName	ARTEMIS'10 - Proceedings of the 1st ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Co-located with ACM Multimedia 2010	en
dc.identifier.doi	10.1145/1877868.1877889	en
dc.identifier.spage	81	en
dc.identifier.epage	86	en