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 |