Temporal Recurrent Networks for Online Action Detection

ICCV 2019 Mingze XuMingfei GaoYi-Ting ChenLarry S. DavisDavid J. Crandall

Most work on temporal action detection is formulated as an offline problem, in which the start and end times of actions are determined after the entire video is fully observed. However, important real-time applications including surveillance and driver assistance systems require identifying actions as soon as each video frame arrives, based only on current and historical observations... (read more)

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