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A Threefold Dataset for Activity and Workflow Recognition in Complex Industrial Environments
July-Sept. 2012 (vol. 19 no. 3)
pp. 42-52
Athanasios Voulodimos, National Technical University of Athens, Greece
Dimitrios Kosmopoulos, Rutgers University, The State University of New Jersey
Georgios Vasileiou, TEI of Athens, Greece
Emmanuel Sardis, National Technical University of Athens, Greece
Vasileios Anagnostopoulos, National Technical University of Athens, Greece
Constantinos Lalos, National Technical University of Athens, Greece
Anastasios Doulamis, Technical University of Crete, Greece
Theodora Varvarigou, National Technical University of Athens, Greece
Unlike any previous effort, the Workflow Recognition (WR) large-scale dataset is a collection of video sequences from the real industrial manufacturing environment of a major automobile manufacturer.
Index Terms:
Behavioral science,Large-scale systems,Industrial plants,Workflow management software,Office automation,Automotive engineering,Production systems,workflow recognition,multimedia,dataset,behavior recognition,workflow,ground truth,industrial environments,automobile production line
Citation:
Athanasios Voulodimos, Dimitrios Kosmopoulos, Georgios Vasileiou, Emmanuel Sardis, Vasileios Anagnostopoulos, Constantinos Lalos, Anastasios Doulamis, Theodora Varvarigou, "A Threefold Dataset for Activity and Workflow Recognition in Complex Industrial Environments," IEEE Multimedia, vol. 19, no. 3, pp. 42-52, July-Sept. 2012, doi:10.1109/MMUL.2012.31
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