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Published in 2020 at "Digital Communications and Networks"
DOI: 10.1016/j.dcan.2020.05.004
Abstract: Abstract Most of the intelligent surveillances in the industry only care about the safety of the workers. It is meaningful if the camera can know what, where and how the worker has performed the action…
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Keywords:
detection;
weight line;
topological structures;
action detection ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2961789
Abstract: The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and…
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Keywords:
action detection;
evaluation;
protocol;
online action ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3104226
Abstract: Temporal action detection is a challenging task in video understanding, due to the complexity of the background and rich action content impacting high-quality temporal proposals generation in untrimmed videos. Capsule networks can avoid some limitations…
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Keywords:
action detection;
temporal action;
dynamic routing;
action ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3089361
Abstract: Weakly supervised temporal action detection has better scalability and practicability than fully supervised action detection in reality deployment. However, it is difficult to learn a robust model without temporal action boundary annotations. In this paper,…
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Keywords:
action detection;
temporal action;
structure;
action ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2999184
Abstract: Despite remarkable progress, temporal action detection is still limited for real application due to the great amount of manual annotations. This issue motivates interest in addressing this task under weak supervision, namely, locating the action…
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Keywords:
action detection;
temporal action;
action;
knowledge ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3014555
Abstract: Inspired by Faster R-CNN, current state-of-the-art region-based action detection approaches like R-C3D and TAL-Net creatively proposed Temporal Region Proposal Network (TRPN) to generate proposals, which greatly improved action detection accuracy. However, since smooth L1 loss…
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Keywords:
temporal regions;
network;
action detection;
temporal locality ... See more keywords
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Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3050069
Abstract: Action detection plays an important role in video understanding and attracts considerable attention in the last decade. However, current action detection methods are mainly based on visible videos, and few of them consider scenes with…
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Keywords:
action detection;
attention;
stream;
action ... See more keywords
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Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8101924
Abstract: Temporal action detection in long, untrimmed videos is an important yet challenging task that requires not only recognizing the categories of actions in videos, but also localizing the start and end times of each action.…
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Keywords:
detection;
temporal action;
untrimmed videos;
coarse ... See more keywords