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Automatically recognizing strategic cooperative behaviors in various situations of a team sport
2018
PLoS ONE
Understanding multi-agent cooperative behavior is challenging in various scientific and engineering domains. In some cases, such as team sports, many cooperative behaviors can be visually categorized and labeled manually by experts. However, these actions which are manually categorized with the same label based on its function have low spatiotemporal similarity. In other words, it is difficult to find similar and different structures of the motions with the same and different labels,
doi:10.1371/journal.pone.0209247
pmid:30562367
pmcid:PMC6298668
fatcat:vketyawjlnghjnvkssdyeyeuxq