HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS

HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS

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Human activity recognition from video scenes has become a significant area of research in the field of computer vision applications. Action recognition is one of the most challenging problems in the area of video analysis and it finds applications in human-computer interaction, anomalous activity d...

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Bibliographic Details
Main Authors: Jagadeesh Basavaiah, Chandrashekar Mohan Patil
Format: Article
Language:English
Published: UUM Press 2019-03-01
Series:Journal of ICT
Subjects:
Action recognition
convolutional neural network
Gaussian Mixture Model
optical flow
SIFT feature extraction
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/12353

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/12353

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