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Video Surveillance Techniques and Technologies

Book Description

Security video surveillance systems, such as homeland security and national defense, rely on specific mathematical algorithms in order to run effectively. It is essential for these parameters to be understood in order to design and create a successful system. Video Surveillance Techniques and Technologies presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems. Emphasizing a wide variety of applications of security systems, this book is an essential tool for graduate students and professionals in the field of signal and image processing applied in static/moving object detection, tracking, and identification.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Preface
    1. SECTION 1: MOVING OBJECT DETECTION ALGORITHMS
    2. SECTION 2: MOVING OBJECT DETECTION ALGORITHMS AND ITS APPLICATIONS UNDER VARIOUS CONDITIONS
    3. SECTION 3: SHAPE RECOGNITION ALGORITHMS
    4. SECTION 4: OBJECT IDENTIFICATION ALGORITHMS AND THEIR APPLICATIONS
    5. SECTION 5: VIDEO SURVEILLANCE APPLIED IN INDUSTRY AND QUALITY CONTROL
    6. SECTION 6: VIDEO TECHNOLOGY OVERVIEW
    7. SECTION 7: DEVICES AND APPLICATIONS
  6. Acknowledgment
  7. Section 1: Moving Object Detection Algorithms
    1. Chapter 1: Illumination Independent Moving Object Detection Algorithm
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE SHADING MODEL METHOD
      4. 3. BACKGROUND UPDATING
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    2. Chapter 2: Improved Illumination Independent Moving Object Detection Algorithm
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
      4. 3. EXPERIMENTAL RESULTS
      5. 4. CONCLUSION
    3. Chapter 3: Application of Improved Illumination Invariance Algorithm in Building Detection
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. ILLUMINATION INVARIANT DETECTION OF CHANGING IMAGE AREAS
      4. 3. BUILDING DETECTION PROCESS
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
  8. Section 2: Moving Object Detection Algorithms and its Applications under Various Conditions
    1. Chapter 4: Multimedia Supported Intelligent Video Surveillance System
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. SYSTEM CONFIGURATION
      4. 3. MOVING OBJECT DETECTION METHODS
      5. 4. EXPERIMENTAL RESULTS
      6. 4. CONCLUSION
    2. Chapter 5: Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
      4. 3. EXPERIMENTAL RESULTS
      5. 4. CONCLUSION
    3. Chapter 6: Improved Illumination Independent Moving Object Detection Algorithm Applied to Infrared Video Sequences
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. IMPROVED NOISE RESISTANT ILLUMINATION INDEPENDENT MOVING OBJECT DETECTION ALGORITHM
      4. 3. EXPERIMENTAL RESULTS
      5. 4. CONCLUSION
    4. Chapter 7: Classification of Building Images in Video Sequences
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. EDGE-BASED BUILDING IMAGE CLASSIFICATION
      4. 3. CHANGING REGION DETECTION
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
  9. Section 3: Shape Recognition Algorithms
    1. Chapter 8: Shape Recognition Methods Used for Complex Polygonal Shape Recognition
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHOD OVERVIEW
      4. 3. ALGORITHM OVERVIEW
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    2. Chapter 9: Nonlinear Diffusion Filters Combined with Triangle Method Used for Noise Removal from Polygonal Shapes
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE TURNING FUNCTION
      4. 3. IMPROVED NONLINEAR DIFFUSION FILTERS
      5. 4. THE TRIANGLE METHOD
      6. 5. EXPERIMENTAL RESULTS
      7. 6. CONCLUSION
  10. Section 4: Object Identification Algorithms and their Applications
    1. Chapter 10: Algorithms for ISAR Image Recognition and Classification
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PRINCIPLE OF ISAR IMAGING
      4. 3. ISAR IMAGES CLASSIFICATION ALGORITHMS
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    2. Chapter 11: Anthropometric Algorithm Used for Automatic Body Dimensions and Skin Color Detection Aimed for Homeland Security Systems
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. AUTOMATIC ANTHROPOMETRIC MEASUREMENTS ALGORITHM
      4. 3. EXPERIMENTAL RESULTS
      5. 6. CONCLUSION
    3. Chapter 12: Algorithm for Automated Iris Recognition Using Biorthogonal Wavelets
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. IMAGE DATABASE
      4. 3. BIORTHOGONAL WAVELETS
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
  11. Section 5: Video Surveillance Applied in Industry and Quality Control
    1. Chapter 13: Algorithm for Automatic Pattern Classification Designed for Real Metallographic Images
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. AUTOMATIC PATTERN CLASSIFICATION ALGORITHM-IMAGE SEGMENTATION
      4. 3. AUTOMATIC PATTERN CLASSIFICATION ALGORITHM – SEGREGATION IDENTIFICATION AND ITS SIZE DETERMINATION
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    2. Chapter 14: Algorithm for Monitoring Impact of Intensity of Inert Gas Blowing to Visual Character of Molten Steel Surface
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. LADLE FURNACE REFINING PROCEDURE
      4. 3. APPLIED SEGMENTATION TECHNIQUES
      5. 4. EXPERIMENTAL RESULTS
      6. 5. CONCLUSION
    3. Chapter 15: Algorithm for Petro-Graphic Color Image Segmentation Used in Oil Exploration
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. COLOR BASED POROSITY SEGMENTATION ALGORITHM COMBINED WITH WAVELET DE-NOISING ANALYSIS
      4. 3. EXPERIMENTAL RESULTS
      5. 4. CONCLUSION
    4. Chapter 16: Automatic Object Classification and Image Retrieval by Sobel Edge Detection
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PROPOSED METHODS FOR AUTOMATIC OBJECT CLASSIFICATION
      4. 3. EXPERIMENTAL RESULTS
      5. 4. CONCLUSION
  12. Section 6: Video Technology Overview
    1. Chapter 17: Video System Overview
      1. ABSTRACT
      2. 1. ONE-CAMERA ANALOG VIDEO SECURITY SYSTEM
      3. 2. MULTI-CAMERA ANALOG VIDEO SECURITY SYSTEM
      4. 3. NETWORKED DIGITAL VIDEO SECURITY SYSTEM
      5. 4. THE ROLE OF LIGHT AND REFLECTION
      6. 5. THE LENS FUNCTION
      7. 6. THE CAMERA FUNCTION
      8. 7. THE TRANSMISSION FUNCTION
      9. 8. THE MONITOR FUNCTION
      10. 9. THE RECORDING FUNCTION
      11. 10. THE SCENE ILLUMINATION
      12. 11. THE ARTIFICIAL LIGHT
      13. 12. THE SCENE CHARACTERISTICS
    2. Chapter 18: High Definition Television (HDTV) and Video Surveillance
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. HIGH DEFINITION TELEVISION IMPACT ON THE VIDEO SURVEILLANCE MARKET
      4. 3. DEVELOPMENT OF HIGH DEFINITION TELEVISION
      5. 4. HOW HIGH DEFINITION TELEVISION WORKS
      6. 5. HIGH DEFINITION TELEVISION STANDARDIZATION
      7. 6. HIGH DEFINITION TELEVISION FORMATS
      8. 7. BENEFITS OF HIGH DEFINITION TELEVISION IN VIDEO SURVEILLANCE
    3. Chapter 19: New Video Technologies
      1. ABSTRACT
      2. 1. OVERVIEW
      3. 2. CAMERA TECHNOLOGY
      4. 3. SMART CAMERAS
      5. 4. INFRARED CAMERAS
      6. 5. MILLIMETER WAVE TECHNOLOGY
      7. 6. TWO CAMERA THREE DIMENSIONS
      8. 7. MULTI-CAMERA THREE DIMENSIONS
      9. 8. HYBRID EYE CAMERA
      10. 9. MONITOR DISPLAY TECHNOLOGY
      11. 10. VIDEO RECORDING
      12. 11. INTEGRATED SYSTEMS
      13. 12. REMOTE SURVEILLANCE
      14. 13. TRANSMISSION
    4. Chapter 20: Video Surveillance System Design
      1. ABSTRACT
      2. 1. CHOOSING THE BEST VIDEO SURVEILLANCE COMPANIES
      3. 2. CAMERA TYPES
      4. 3. CAMERA CONNECTION TO VIDEO MANAGEMENT SYSTEM
      5. 4. VIDEO MANAGEMENT SYSTEM
      6. 5. STORAGE
      7. 6. VIDEO ANALYTICS
      8. 7. VIEWING VIDEO
      9. 8. INTEGRATING VIDEO WITH OTHER SYSTEMS
  13. Section 7: Devices and Applications
    1. Chapter 21: Cameras
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE SCANNING PROCESS
      4. 3. THE VIDEO SIGNAL
      5. 4. THE TYPES OF CAMERAS
      6. 5. TYPES OF SENSORS
    2. Chapter 22: IP Video Surveillance System
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. OVERVIEW
      4. 3. NETWORK CAMERA
      5. 4. VIDEO ENCODER
      6. 5. NETWORK
      7. 6. STORAGE NEEDS
      8. 7. VIDEO MANAGEMENT SOFTWARE
      9. 8. MOUNTING SURVEILLANCE CAMERAS
      10. 9. SERVER SELECTION
      11. 10. VIDEO MANAGEMENT SOFTWARE INSTALLATION AND CONFIGURATION
    3. Chapter 23: Motion Detectors
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. ANALOG MOTION DETECTORS
      4. 3. DIGITAL MOTION DETECTORS
    4. Chapter 24: Video Surveillance System Applications
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. ANALOG LOBBY VIDEO SURVEILLANCE SYSTEM
      4. 3. ANALOG ELEVATOR VIDEO SURVEILLANCE SYSTEM
      5. 4. ANALOG/DIGITAL OFFICE VIDEO SURVEILLANCE SYSTEM
      6. 5. ANALOG/DIGITAL MERCANTILE ESTABLISHMENT VIDEO SURVEILLANCE SYSTEM
      7. 6. ANALOG/DIGITAL VIDEO RAPID DEPLOYMENT SYSTEM VIDEO SURVEILLANCE SYSTEM
      8. 7. DIGITAL PARKING LOT VIDEO SURVEILLANCE SYSTEM
      9. 8. WIRED AND WIRELESS SINGLE SITE VIDEO SURVEILLANCE SYSTEM
      10. 9. WIRELESS MULTIPLE SITE VIDEO SURVEILLANCE SYSTEM
      11. 10. VIDEO SURVEILLANCE OF CORRECTIONAL FACILITY
      12. 11. VIDEO SURVEILLANCE OF BANKING AND FINANCIAL INSTITUTIONS
      13. 12. VIDEO SURVEILLANCE OF LODGING AND CASINO SURVEILLANCE AREAS
      14. 13. VIDEO SURVEILLANCE OF AIRPORT, SEAPORT, AND HIGHWAY SURVEILLANCE
      15. 14. ACCESS CONTROL THROUGH VIDEO SURVEILLANCE SYSTEM
  14. Compilation of References
  15. About the Contributors
  16. Conclusion