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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

3.2.1.1 Background Modeling Independent of Time .

This book will provide an overview of techniques for visual monitoring including video surveillance and human activity understanding. It will present the basic techniques of processing video from static cameras, starting with object detection and tracking. The author will introduce further video analytic modules including face detection, trajectory analysis and object classification. Examining system design and specific problems in visual surveillance, such as the use of multiple cameras and moving cameras, the author will elaborate on privacy issues focusing on approaches where automatic processing can help protect privacy.

OCLC-licensed vendor bibliographic record.