Intelligent Surveillance Systems [Paperback]

Surveillance systems have become increasingly popular. Full involvement of human operators has led to shortcomings, e.g. high labor cost, limited capability for multiple screens, inconsistency in long-duration, etc. Intelligent surveillance systems (ISSs) can supplement or even replace traditional ones. In ISSs, computer vision, pattern recognition, and artificial intelligence technologies are used to identify abnormal behaviours in videos. They present the development of real-time behaviour-based intelligent surveillance systems. The book focuses on the detection of individual abnormal behaviour based on learning and the analysis of dangerous crowd behaviour based on texture and optical flow. Practical systems include a real-time face classification and counting system, a surveillance robot system that utilizes video and audio information for intelligent interaction, and a robust person counting system for crowded environments.

As shortcomings such as high labor costs make intelligent surveillance systems more desirable, this practical book focuses on detecting abnormal behavior based on learning and the analysis of dangerous crowd behavior based on texture and optical flow.

1 Introduction; 1.1 Background; 1.2 Existing Surveillance Systems; 1.3 Book Contents; 1.4 Conclusion; 2 Background/Foreground Detection; 2.1 Introduction; 2.2 Pattern Classification Method; 2.2.1 Overview of Background Update Methods; 2.2.2 Pattern Classification-based Adaptive Background Update Method; 2.3 Frame Differencing Method; 2.4 Optical Flow Method; 2.5 Conclusion; 3 Segmentation and Tracking; 3.1 Introduction; 3.2 Segmentation; 3.3 Tracking; 3.3.1 Hybrid Tracking Method; 3.3.2 Particle Filter-based Tracking Method; 3.3.3 Local Binary Pattern-based Tracking Method; 3.4 Conclusion; 4 Behavior Analysis of Individuals; 4.1 Introduction; 4.2 Learning-based Behavior Analysis; 4.2.1 Contour-based Feature Analysis; 4.2.2 Motion-based Feature Analysis; 4.3 Rule-based lSU