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Advanced CCTV Surveillance Anomaly Detection, Alert Generation and Crowd Management using Deep Learning Algorithm

2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
In the landscape of modern technological advancements, this research scrutinizes the shortcomings of prevailing Closed-Circuit Television (CCTV) systems and underscores the critical need for an advanced smart CCTV surveillance paradigm.
R. Thomas   +3 more
semanticscholar   +1 more source

Advancing Crowd Management through Innovative Surveillance using YOLOv8 and ByteTrack

2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
Crowd management is a cumbersome task that requires broad analysis and grasp of various constraints. The main hurdles include security issues, unexpected crowd dynamics over which there is typically minimal or no control, limited infrastructure to ...
J. Antony   +4 more
semanticscholar   +1 more source

Routing for Crowd Management in Smart Cities: A Deep Reinforcement Learning Perspective

IEEE Communications Magazine, 2019
The concept of smart city has been flourishing based on the prosperous development of various advanced technologies: mobile edge computing (MEC), ultra-dense networking, and software defined networking.
Lei Zhao   +3 more
semanticscholar   +1 more source

Introduction to Crowd Management

, 2021
C. Feliciani, K. Shimura, K. Nishinari
semanticscholar   +1 more source

A landscape of crowd-management support: An integrative approach

Safety Science, 2016
Maarten van Steen, Nanda Wijermans
exaly  

A review on technological advancements in crowd management

Journal of Ambient Intelligence and Humanized Computing, 2016
Amol P Bhondekar   +2 more
exaly  

A Feedback Control-Based Crowd Dynamics Management in IoT System

IEEE Internet of Things Journal, 2017
Nei Kato, Yuichi Kawamoto, Naoto Yamada
exaly  

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