書誌事項
- タイトル別名
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- Fast and Accurate Driver Action Recognition with Multi-Task Learning of Driver Pose and Action
説明
<p>Driver Action Recognition is a key component in driver monitoring systems, which is helpful for the safety management of commercial vehicles. Compared with traditional human action recognition tasks, driver action recognition is required to be fast and accurate on embedded systems. We propose a fast and accurate driver action recognition method that is composed of CNN based driver pose estimation and RNN based driver action recognition. We train our network model with multi-task learning includes localizing and detecting each body part of the driver, classifying state of each body part, and recognizing driver action at once. Our multi-task learning for the proposed model achieves a significant improvement compared to state-of-the-art human action recognition methods with limited computational resources. We also perform ablation study of our methods which composed of the driver pose localization, detection, and classification.</p>
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 36 (2), A-K93_1-10, 2021-03-01
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390287297543584000
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- NII論文ID
- 130007993576
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可