MMVG-inf-etrol@TRECVID 2019: activities in extended video
Date
2019
Authors
Chang, X.
Liu, W.
Huang, P.Y.
Li, C.
Zhu, F.
Han, M.
Li, M.
Ma, M.
Hu, S.
Kang, G.
Editors
Awad, G.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval, 2019 / Awad, G. (ed./s), pp.1-8
Statement of Responsibility
Conference Name
TREC Video Retrieval Evaluation 2019 (12 Nov 2019 - 13 Nov 2019 : Gaithersburg)
Abstract
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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2019 TRECVID