- Lijun Yu, Yijun Qian, Wenhe Liu, Alexander Hauptmann. 2020. CMU Informedia at TRECVID 2020: Activity Detection with Dense Spatio-temporal Proposals. Abstract: We propose an action recognition system for surveillance scenarios, which wins TRECVID 2020 [1] Activities in Extended Video (ActEV 2 ) Challenge with a large advantage of 23.8% ahead the runner up system. Our system develops a dense spatial-temporal proposal generation model which collaborates with the state-of-the-art action classiﬁers. The proposed system utilizes multiple state-of-the-art modules and is trained on VIRAT Dataset with only released annotations. In this paper, we demonstrate the architecture and algorithms with technique details of the winner system.
