Deep CNN, Body Pose, and Body-Object Interaction Features for Drivers' Activity Monitoring

Automatic recognition and prediction of in-vehicle human activities has a significant impact on the next generation of driver assistance and intelligent autonomous vehicles. In this article, we present a novel single image driver action recognition algorithm inspired by human perception that often f...

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Bibliographic Details
Main Authors:	Behera, A. (Author), Debnath, B. (Author), Keidel, A. (Author), Wharton, Z. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	Activity monitoring Automobile bodies Automobile drivers Body pose body pose and contextual descriptor Body pose and contextual descriptor Contextual descriptor deep learning Deep learning Intelligent vehicle highway systems intelligent vehicles in-vehicle activity monitoring In-vehicle activity monitoring Network-based neural network-based fusion Neural network-based fusion Neural-networks Semantics Transfer learning Vehicle activity
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Deep CNN, Body Pose, and Body-Object Interaction Features for Drivers' Activity Monitoring

Internet

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