Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization

Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization

Intelligent visual surveillance systems are attracting much attention from research and industry. The invention of smart surveillance cameras with greater processing power has now been the leading stakeholder, making it conceivable to design intelligent visual surveillance systems. It is possible to...

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Bibliographic Details
Main Authors: Tanzila Saba, Amjad Rehman, Rabia Latif, Suliman Mohamed Fati, Mudassar Raza, Muhammad Sharif
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Threats
classification
machine learning
surveillance
computer vision
Online Access:https://ieeexplore.ieee.org/document/9461737/

Internet

https://ieeexplore.ieee.org/document/9461737/

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