Deep Learning Approach for Human Action Recognition Using a Time Saliency Map Based on Motion Features Considering Camera Movement and Shot in Video Image Sequences

Deep Learning Approach for Human Action Recognition Using a Time Saliency Map Based on Motion Features Considering Camera Movement and Shot in Video Image Sequences

In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and decrease accuracy. Another important aspect to t...

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Bibliographic Details
Main Authors: Abdorreza Alavigharahbagh, Vahid Hajihashemi, José J. M. Machado, João Manuel R. S. Tavares
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Information
Subjects:
Human Action Recognition (HAR)
deep learning
RNN
time saliency map
camera’s movement cancellation
Online Access:https://www.mdpi.com/2078-2489/14/11/616

Internet

https://www.mdpi.com/2078-2489/14/11/616

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