
Smart Public Safety Video Surveillance System
Innovative Technologies for Homeland Security and Mission-Critical Operations
- 202 pages
- English
- PDF
- Available on iOS & Android
Smart Public Safety Video Surveillance System
Innovative Technologies for Homeland Security and Mission-Critical Operations
About this book
In smart cities, video surveillance is essential for public safety, evolving beyond simple camera installations and centralized monitoring due to the overwhelming amount of footage that challenges human operators. To enhance anomaly detection, experts have developed sophisticated computer vision techniques that classify events as normal or abnormal.
Smart Public Safety Video Surveillance System explores an end-to-end urban video surveillance system, which aims to address asymmetric threats through three key strategies: firstly, it employs a corrective signal called "task-specific QoE" that considers contextual factors; secondly, it utilizes machine learningdriven predictive systems and a method known as "similarity-based meta-reinforcement learning" for effective anomaly detection; and thirdly, it advocates for "zero-touch" self-management systems based on autonomous computing. This holistic approach ensures rapid adaptation and situational awareness, effectively meeting the demands of modern businesses and enhancing overall safety in dynamic urban environments.
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Information
Table of contents
- Cover
- Dedication Page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Acronyms
- Introduction
- Chapter 1. Literature Review on an End-to-End Video Surveillance System for Public Safety
- Chapter 2. A Development Platform for Integration and Testing
- Chapter 3. A Multi-Criteria Enriched Corrective Signal with Endogenous, Exogenous and Human Factors
- Chapter 4. A Situational Awareness-centric Predictive System for Anomaly Detection
- Chapter 5. Towards an Autonomic Intelligent Video Surveillance System .
- Conclusions and Perspectives
- References
- Index
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