MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.
Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing A. Wen, Alexander G. Hauptmann · Monash University Research Portal (Monash University) · 2019
We propose a video analysis system detecting activities in surveillance scenarios which wins Trecvid Activities in Extended Video (ActEV1) challenge 2019. For detecting and localizing surveillance events in videos, Argus employs a spatial-temporal activity proposal generation module facilitating object detection and tracking, followed by a sequential classification module to spatially and temporally localize persons and objects involved in the activity. We detail the design challenges and provide our insights and solutions in developing the state-of-the-art surveillance video analysis system.