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Systematically addresses all aspects of intelligent video surveillance system
Emphasizes on the algorithmic approach to teach students how to implement particular concepts using hardware and software techniques
Presents introductory chapters on image processing and video processing to avoid any pre-requisite course before learning video surveillance
Last two chapters discuss complete surveillance systems for various applications and emerging techniques in this area
Presents state-of-art research and development, a solid introduction to each topic, and builds a foundation for future study
Comprehensively covers basics, algorithms, system implementation issues, architectures and applications
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.
Table of Contents
Basics of Image Processing. Basics of Video Processing and Motion Analysis. Background Modeling. Object Classification and Detection. Human Activity Recognition. Object Tracking. Camera Networks for Surveillance. Surveillance Systems and Applications. Emerging Techniques in Visual Surveillance System.