Real-time multiple spatiotemporal action localization and prediction approach using deep learning

Ahmed Hammam; Mona Soliman; Aboul Ella Hassanien

doi:10.1016/j.neunet.2020.05.017

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Real-time multiple spatiotemporal action localization and prediction approach using deep learning

Ahmed Hammam Mona Soliman Aboul Ella Hassanien

Year: 2020 Journal: Neural Networks Vol: 128 Pages: 331-344 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2020.05.017

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Keywords:

Artificial intelligence Computer science Convolutional neural network Optical flow Frame (networking) Object detection Segmentation Pattern recognition (psychology) Computer vision Deep learning RGB color model Action (physics) Machine learning Image (mathematics)

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Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Real-time multiple spatiotemporal action localization and prediction approach using deep learning

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Citation History

Topics

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