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Authors: Hanyuan Wang ; Dima Damen ; Majid Mirmehdi and Toby Perrett

Affiliation: Department of Computer Science, University of Bristol, Bristol, U.K.

Keyword(s): Action Detection, Action Localization, Action Proposals.

Abstract: We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accurately, where temporal contextual evidence is accumulated to predict frame-level probabilities of start and end action boundaries. Our action-independent evidence module is incorporated within a pipeline to calculate confidence scores and action classes. We achieve an average mAP of 34.6% on ActivityNet-1.3, particularly outperforming previous methods with the highest IoU of 0.95. TVNet also achieves mAP of 56.0% when combined with PGCN and 59.1% with MUSES at 0.5 IoU on THUMOS14 and outperforms prior work at all thresholds. Our code is available at https://github.com/hanielwang/TVNet.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wang, H.; Damen, D.; Mirmehdi, M. and Perrett, T. (2022). TVNet: Temporal Voting Network for Action Localization. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 550-558. DOI: 10.5220/0010868900003124

@conference{visapp22,
author={Hanyuan Wang. and Dima Damen. and Majid Mirmehdi. and Toby Perrett.},
title={TVNet: Temporal Voting Network for Action Localization},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP},
year={2022},
pages={550-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010868900003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP
TI - TVNet: Temporal Voting Network for Action Localization
SN - 978-989-758-555-5
IS - 2184-4321
AU - Wang, H.
AU - Damen, D.
AU - Mirmehdi, M.
AU - Perrett, T.
PY - 2022
SP - 550
EP - 558
DO - 10.5220/0010868900003124
PB - SciTePress

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