TY - GEN
T1 - Argus
T2 - 2020 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2020
AU - Liu, Wenhe
AU - Kang, Guoliang
AU - Huang, Po Yao
AU - Chang, Xiaojun
AU - Yu, Lijun
AU - Qian, Yijun
AU - Liang, Junwei
AU - Gui, Liangke
AU - Wen, Jing
AU - Chen, Peng
AU - Hauptmann, Alexander G.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - We propose an Efficient Activity Detection System, Argus, for Extended Video Analysis in the surveillance scenario. For the spatial-temporal event detection in the surveillance video, we first generate video proposals by applying object detection and tracking algorithm which shared the detection features. After that, we extract several different features and apply sequential activity classification with them. Finally, we eliminate inaccurate events and fuse all the predictions from different features. The proposed system wins Trecvid Activities in Extended Video (ActEV1) challenge 2019. It achieves the first place with 60.5 mean weighted Pmiss, outperforming the second place system by 14.5 and the baseline R-C3D by 29.0. In TRECVID 2019 Challenge2, the proposed system wins the first place with pAUDC@0.2tfa 0.48407.
AB - We propose an Efficient Activity Detection System, Argus, for Extended Video Analysis in the surveillance scenario. For the spatial-temporal event detection in the surveillance video, we first generate video proposals by applying object detection and tracking algorithm which shared the detection features. After that, we extract several different features and apply sequential activity classification with them. Finally, we eliminate inaccurate events and fuse all the predictions from different features. The proposed system wins Trecvid Activities in Extended Video (ActEV1) challenge 2019. It achieves the first place with 60.5 mean weighted Pmiss, outperforming the second place system by 14.5 and the baseline R-C3D by 29.0. In TRECVID 2019 Challenge2, the proposed system wins the first place with pAUDC@0.2tfa 0.48407.
UR - https://www.scopus.com/pages/publications/85085931966
U2 - 10.1109/WACVW50321.2020.9096929
DO - 10.1109/WACVW50321.2020.9096929
M3 - 会议稿件
AN - SCOPUS:85085931966
T3 - Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020
SP - 126
EP - 133
BT - Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 March 2020 through 5 March 2020
ER -