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Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos

Several efforts have been made to develop effective and robust vision-based solutions for human action recognition in aerial videos. Generally, the existing methods rely on the extraction of either spatial features (patch-based methods) or skeletal key points (pose-based methods) that are fed to a c...

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Principais autores: Shahab Uddin, Tahir Nawaz, James Ferryman, Nasir Rashid, Md. Asaduzzaman, Raheel Nawaz
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Action recognition
transformer network
aerial videos
video surveillance
גישה מקוונת:https://ieeexplore.ieee.org/document/10400454/
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