A dataset for workflow recognition in industrial scenes
| Autor: | Constantinos Lalos, Anastasios Doulamis, Dimitrios Kosmopoulos, Theodora Varvarigou, Vassileios Anagnostopoulos, Georgios Vasileiou, Athanasios Voulodimos, Emmanuel Sardis |
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| Rok vydání: | 2011 |
| Předmět: |
Event (computing)
business.industry Computer science Testbed ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing computer.software_genre ComputingMethodologies_PATTERNRECOGNITION Workflow Outlier Computer vision Artificial intelligence Data mining business Representation (mathematics) computer |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2011.6116362 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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