An Artificial Immune System Based Visual Analysis Model and Its Real Time Terrain Surveillance Application 1st Edition by Gyorgy Cserey, Wolfgang Porod, Tamas Roska ISBN 9783540302209

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ISBN 10: 
ISBN 13: 9783540302209
Author: Gyorgy Cserey, Wolfgang Porod, Tamas Roska

We present a real-time visual analysis system for surveillance applications based on an Artificial Immune System inspired framework [10] that can reliably detect unknown patterns in input image sequences. The system converts gray-scale or color images to binary with statistical 3×3 sub-pattern analysis based on an AIS algorithm, which make use of the standard AIS modules. Our system is implemented on specialized hardware (the Cellular Nonlinear Network (CNN) Universal Machine). Results from tests in a 3D virtual world with different terrain textures are reported to demonstrate that the system can detect unknown patterns and dynamical changes in image sequences. Applications of the system include in particular explorer systems for terrain surveillance.

An Artificial Immune System Based Visual Analysis Model and Its Real-Time Terrain Surveillance Application 1st Table of contents:

• Background and Fundamentals

  • 2.1 Introduction to Artificial Immune Systems
  • 2.2 Key Concepts in Immune System-Inspired Computing
  • 2.3 Visual Analysis Techniques: Image Processing and Computer Vision
  • 2.4 Overview of Terrain Surveillance Systems
  • 2.5 The Role of AIS in Real-Time Data Analysis

• Artificial Immune System: Principles and Mechanisms

  • 3.1 Immune System Models in Computing
  • 3.2 Clonal Selection Algorithm
  • 3.3 Negative Selection and Immune Network Theory
  • 3.4 AIS-based Pattern Recognition and Anomaly Detection
  • 3.5 Advantages of AIS in Complex Data Analysis

• Visual Analysis in Surveillance Systems

  • 4.1 Fundamentals of Visual Analysis for Surveillance
  • 4.2 Computer Vision Techniques in Surveillance Systems
  • 4.3 Image Preprocessing and Feature Extraction
  • 4.4 Object Detection and Tracking in Visual Surveillance
  • 4.5 Integration of Visual Analysis with Real-Time Data

• The Artificial Immune System Based Visual Analysis Model

  • 5.1 Model Overview: Combining AIS and Visual Analysis
  • 5.2 AIS-based Image Processing Techniques
  • 5.3 Pattern Matching and Anomaly Detection in Visual Data
  • 5.4 Self-Organization and Adaptation in Terrain Surveillance
  • 5.5 Learning and Evolving with AIS: Real-Time Adaptation

• Real-Time Terrain Surveillance Applications

  • 6.1 Requirements for Real-Time Terrain Surveillance Systems
  • 6.2 Real-Time Data Acquisition and Processing
  • 6.3 The Role of Visual Analysis in Terrain Monitoring
  • 6.4 Application Scenarios: Military, Environmental, and Security Surveillance
  • 6.5 Case Study: Using AIS for Terrain Surveillance in a Military Setting

• Implementing the AIS-based Visual Analysis Model

  • 7.1 System Architecture and Components
  • 7.2 Data Flow in the Real-Time Surveillance System
  • 7.3 Software Tools and Frameworks for Implementation
  • 7.4 Hardware Requirements for Real-Time Terrain Surveillance
  • 7.5 Performance Considerations and Optimization

• Evaluation of the AIS-based Visual Analysis Model

  • 8.1 Metrics for Evaluating Surveillance Systems
  • 8.2 Benchmarking AIS Performance in Visual Analysis
  • 8.3 Comparison with Traditional Surveillance Models
  • 8.4 Accuracy, Efficiency, and Scalability in Real-Time Applications
  • 8.5 Case Study Results and Analysis

• Challenges and Limitations

  • 9.1 Scalability Issues in Real-Time Terrain Surveillance
  • 9.2 Handling Large-Scale Data and Real-Time Constraints
  • 9.3 False Positives and False Negatives in Anomaly Detection
  • 9.4 Adaptability to Changing Terrain and Environmental Conditions
  • 9.5 Integration Challenges with Other Surveillance Technologies

• Future Directions and Research Opportunities

  • 10.1 Enhancing AIS for More Robust Surveillance Systems
  • 10.2 Integrating Deep Learning and AIS for Visual Analysis
  • 10.3 Multi-Sensor Fusion for Comprehensive Terrain Surveillance
  • 10.4 AI-driven Autonomous Terrain Surveillance Systems
  • 10.5 Emerging Technologies in Real-Time Surveillance and AIS Applications

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