An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection in Complex Video Scenes

An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection in Complex Video Scenes

Background subtraction is a crucial stage in many visual surveillance systems. The prime objective of any such system is to detect local changes, and the system could be utilized to face many real-life challenges. Most of the existing methods have addressed the problems of moderate and fast-moving o...

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Bibliographic Details
Main Authors: Prabodh Kumar Sahoo, Manoj Kumar Panda, Upasana Panigrahi, Ganapati Panda, Prince Jain, Md. Shabiul Islam, Mohammad Tariqul Islam
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep neural network
background subtraction
transfer learning
encoder-decoder architecture
feature pooling framework
Online Access:https://ieeexplore.ieee.org/document/10478894/

Internet

https://ieeexplore.ieee.org/document/10478894/

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