This accessible textbook/reference reviews the fundamental concepts and practical issues involved in designing digital surveillance systems that fully exploit the power of intelligent computing techniques.

Introduction.- Surveillance Data Capturing and Compression.- Surveillance Data Secure Transmissions.- Surveillance Data Analytics.- Biometrics for Surveillance.- Visual Event Computing I.- Visual Event Computing II.- Surveillance Alarm Making.- Surveillance Computing.

This accessible textbook/reference reviews the fundamental concepts and practical issues involved in designing digital surveillance systems that fully exploit the power of intelligent computing techniques. The book presents comprehensive coverage of all aspects of such systems, from camera calibration and data capture, to the secure transmission of surveillance data. In addition to the detection and recognition of objects and biometric features, the text also examines the automated observation of surveillance events, and how this can be enhanced through the use of deep learning methods and supercomputing technology. This updated new edition features extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance.Topics and features:Contains review questions and exercises in every chapter, together with a glossaryDescribes the essentials of implementing an intelligent surveillancesystem and analyzing surveillance data, including a range of biometric characteristicsExamines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethicsDiscusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognitionReviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human interventionPresents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate numberInvestigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computingThis concise, classroom-tested textbook is ideal for undergraduate and postgraduate-level courses on intelligent surveillance. Researchers interested in entering this area will also find the book suitable as a helpful self-study reference.Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title Visual Cryptography for Image Processing and Security.

Describes the state of the art in intelligent surveillance, including the pipeline of a surveillance system Reviews issues of security, privacy and safety in intelligent surveillance, rather than only focusing on topics related to computer vision Investigates in depth the area of alarm-making problems in intelligent surveillance Updated new edition, featuring extended coverage on face detection, pedestrian detection and privacy preservation for intelligent surveillance