ESDAR-net: towards high-accuracy and real-time driver action recognition for embedded systems

Existing driver action recognition approaches suffer from a bottleneck problem which is the trade-off between recognition accuracy and computational efficiency. More specifically, the high-capacity spatial-temporal deep learning model is unable to realize real-time driver action recognition on vehic...

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Veröffentlicht in:	Multimedia tools and applications 2024-02, Vol.83 (6), p.18281-18307
Hauptverfasser:	Hu, Yaocong, Shuai, Zhen, Yang, Huicheng, Wan, Guoyang, Zhang, Yajun, Xie, Chao, Lu, Mingqi, Lu, Xiaobo
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Activity recognition Computational efficiency Computer Communication Networks Computer Science Computing costs Data Structures and Information Theory Deep learning Embedded systems Modules Multimedia Information Systems Real time Special Purpose and Application-Based Systems Track 6: Computer Vision for Multimedia Applications
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