A dataset for workflow recognition in industrial scenes

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 hum...

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Bibliographic Details
Published in2011 18th IEEE International Conference on Image Processing pp. 3249 - 3252
Main Authors Voulodimos, A., Kosmopoulos, D., Vasileiou, G., Sardis, E., Doulamis, A., Anagnostopoulos, V., Lalos, C., Varvarigou, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
activity recognition
Cameras
Computer vision
Conferences
Humans
Image processing
industrial environments
Positron emission tomography
tracking
Video surveillance
Welding
workflow recognition
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Summary: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.
ISBN:1457713047
9781457713040
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2011.6116362