Intelligent Video Surveillance Systems : an Algorithmic Approach.
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Milton :
Chapman and Hall/CRC,
2018.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Cover; Half Title; Title; Copyright; Dedication; Contents; List of Figures; List of Tables; Foreword; Preface; Part I Basics of Image and Video Processing; Chapter 1 Basics of Image Processing; 1.1 Introduction to Digital Image Processing; 1.1.1 Why Digital Image Processing?; 1.1.2 What Is Digital Image?; 1.1.3 What Is Digital Image Processing?; 1.2 Digital Image Processing System; 1.2.1 Image Acquisition; 1.2.2 Storage; 1.2.3 Processing; 1.2.4 Communication; 1.2.5 Display; 1.3 Digital Image Processing Methods; 1.3.1 Image Enhancement; 1.3.2 Image Restoration; 1.3.3 Image Segmentation
- 1.3.4 Image Compression1.3.5 Image Reconstruction; 1.3.5.1 Analytical Reconstruction; 1.3.5.2 Iterative Reconstruction; 1.3.6 Image Morphing; 1.3.7 Image Recognition; 1.3.8 Image Mosaicing; 1.3.9 Image Watermarking; 1.3.10 Image Registration; 1.4 Digital Image Segmentation; 1.4.1 Classi cation of Image Segmentation Techniques; 1.4.2 Edge Detection; 1.4.2.1 Classi cation of Edges; 1.4.2.2 Gradient Operator; 1.4.2.3 Laplacian Operator; 1.4.2.4 Marr Hildreth Edge Detector; 1.4.2.5 Isolated Point Detection; 1.4.2.6 Line Detection; 1.4.2.7 Canny Edge Detector; 1.4.3 Edge Linking
- 1.4.3.1 Local Processing1.4.3.2 Regional Processing; 1.4.3.3 Global Processing Using Hough Transform .; 1.4.4 Thresholding; 1.4.4.1 Multiple Thresholding; 1.4.4.2 Global Thresholding; 1.4.4.3 Local Thresholding; 1.4.5 Region Growing; 1.4.6 Region Splitting and Merging; 1.4.7 Watershed-Based Segmentation; 1.4.7.1 Use of Markers; 1.5 Applications; 1.5.1 Television Signal Processing; 1.5.2 Satellite Image Processing; 1.5.3 Medical Image Processing; 1.5.4 Robot Control; 1.5.5 Visual Communications; 1.5.6 Law Enforcement; 1.6 Summary; Chapter 2 Basics of Video Compression and Motion Analysis
- 2.1 Video Compression2.1.1 What Is Video Compression?; 2.1.2 Why Video Compression?; 2.1.3 Types of Video Compression; 2.1.3.1 Lossless; 2.1.3.2 Lossy; 2.1.4 Latency; 2.1.5 MPEG Compression; 2.1.5.1 Reduction of the Resolution; 2.1.5.2 Motion Estimation; 2.1.5.3 Discrete Cosine Transform; 2.1.5.4 Quantization; 2.1.5.5 Entropy Coding; 2.1.6 Video Compression Standards; 2.2 Motion Segmentation; 2.2.1 Introduction; 2.2.1.1 Issues in Motion Segmentations; 2.2.1.2 Main Attributes of a Motion Segmentation Al- gorithm; 2.2.2 Motion Segmentation Algorithms; 2.2.2.1 Image Di erence
- 2.2.2.2 Statistical Theory2.2.2.3 Optical Flow; 2.2.2.4 Layers; 2.2.2.5 Factorization Technique; 2.3 Optical Flow Methods; 2.3.1 Estimation of Optical Flow; 2.3.1.1 Horn-Schunck Optical Flow Estimation; 2.3.1.2 Lucas Kanade Optical Flow Estimation; 2.4 Applications; 2.4.1 Surveillance and Security; 2.4.2 Content-Based Video Indexing and Retrieval; 2.4.3 Automatic Highlight Generation of Sports Videos; 2.4.4 Tra c Monitoring; 2.5 Summary; Chapter 3 Background Modeling; 3.1 What Is Background Modeling?; 3.2 Background Modeling Techniques; 3.2.1 Non-Statistical Background Modeling Methods