HEAL DSpace

A dataset for workflow recognition in industrial scenes

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dc.contributor.author Voulodimos, A en
dc.contributor.author Kosmopoulos, D en
dc.contributor.author Vasileiou, G en
dc.contributor.author Sardis, E en
dc.contributor.author Doulamis, A en
dc.contributor.author Anagnostopoulos, V en
dc.contributor.author Lalos, C en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:52:49Z
dc.date.available 2014-03-01T02:52:49Z
dc.date.issued 2011 en
dc.identifier.issn 15224880 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36093
dc.subject activity recognition en
dc.subject industrial environments en
dc.subject tracking en
dc.subject Video surveillance en
dc.subject workflow recognition en
dc.subject.other Activity recognition en
dc.subject.other Automobile manufacturers en
dc.subject.other Data sets en
dc.subject.other Feature vectors en
dc.subject.other Heavy occlusion en
dc.subject.other Image processing algorithm en
dc.subject.other Industrial environments en
dc.subject.other Production line en
dc.subject.other Scene representation en
dc.subject.other Video sequences en
dc.subject.other Video surveillance en
dc.subject.other Work-flows en
dc.subject.other workflow recognition en
dc.subject.other Automobile manufacture en
dc.subject.other Computer vision en
dc.subject.other Human computer interaction en
dc.subject.other Industry en
dc.subject.other Machinery en
dc.subject.other Security systems en
dc.subject.other Surface discharges en
dc.subject.other Feature extraction en
dc.title A dataset for workflow recognition in industrial scenes en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.2011.6116362 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.2011.6116362 en
heal.identifier.secondary 6116362 en
heal.publicationDate 2011 en
heal.abstract In this paper we introduce the WR (Workflow Recognition) dataset. Recorded in the production line of a major automobile manufacturer, this dataset consists of sequences that depict workers executing industrial workflows. The heavy occlusions, outliers, the visually complicated background and the human-machinery interaction are among the factors that make this dataset a very challenging testbed for computer vision and image processing algorithms. We provide the original video sequences together with event labeling, as well as feature vectors extracted through our proposed scene representation methodology, and we refer to our results so far in workflow recognition using this dataset. © 2011 IEEE. en
heal.journalName Proceedings - International Conference on Image Processing, ICIP en
dc.identifier.doi 10.1109/ICIP.2011.6116362 en
dc.identifier.spage 3249 en
dc.identifier.epage 3252 en


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