Body-Pose-Guided Action Recognition with Convolutional Long Short-Term Memory (LSTM) in Aerial Videos

Body-Pose-Guided Action Recognition with Convolutional Long Short-Term Memory (LSTM) in Aerial Videos

The accurate detection and recognition of human actions play a pivotal role in aerial surveillance, enabling the identification of potential threats and suspicious behavior. Several approaches have been presented to address this problem, but the limitation still remains in devising an accurate and r...

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Bibliographic Details
Main Authors: Sohaib Mustafa Saeed, Hassan Akbar, Tahir Nawaz, Hassan Elahi, Umar Shahbaz Khan
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
deep neural network
convolutional LSTM
action recognition
body pose keypoints
aerial surveillance
Online Access:https://www.mdpi.com/2076-3417/13/16/9384

Internet

https://www.mdpi.com/2076-3417/13/16/9384

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