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We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage. Previous datasets for action recognition are unrealistic for real-world surveillance because they consist of short clips showing one action by one individual [15, 8] . Datasets have been developed for movies  and sports  , but, these actions and scene conditions dodoi:10.1109/cvpr.2011.5995586 dblp:conf/cvpr/OhHPCCLMALDSWJRSVPRYTSFRD11 fatcat:fkkxv762izfetdrthrhnopjbb4