Comparative Analysis of Fine-Tuning I3D and SlowFast Networks for Action Recognition in Surveillance Videos

Comparative Analysis of Fine-Tuning I3D and SlowFast Networks for Action Recognition in Surveillance Videos

Human Action Recognition is considered to be a critical problem and it is always a challenging issue in computer vision applications, especially video surveillance applications. State-of-the-art classifiers introduced to solve the problem are computationally expensive to train and require very large...

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Bibliographic Details
Main Authors: T. Gopalakrishnan, Naynika Wason, Raguru Jaya Krishna, Vamshi Krishna B, N. Krishnaraj
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Engineering Proceedings
Subjects:
human action recognition
fine-tuning
deep learning
surveillance
convolutional neural network
SPHAR
Online Access:https://www.mdpi.com/2673-4591/59/1/203
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