Crowd Anomaly Detection in Video Frames Using Fine-Tuned AlexNet Model

Crowd Anomaly Detection in Video Frames Using Fine-Tuned AlexNet Model

This study proposed an AlexNet-based crowd anomaly detection model in the video (image frames). The proposed model was comprised of four convolution layers (CLs) and three Fully Connected layers (FC). The Rectified Linear Unit (ReLU) was used as an activation function, and weights were adjusted thro...

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Bibliographic Details
Main Authors: Arfat Ahmad Khan, Muhammad Asif Nauman, Muhammad Shoaib, Rashid Jahangir, Roobaea Alroobaea, Majed Alsafyani, Ahmed Binmahfoudh, Chitapong Wechtaisong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
crowd anomaly
ConvNets
fine tuning
ensemble learning
convolutional neural networks
Online Access:https://www.mdpi.com/2079-9292/11/19/3105

Internet

https://www.mdpi.com/2079-9292/11/19/3105

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