Handbook on Soft Computing for Video Surveillance

Handbook on Soft Computing for Video Surveillance (Chapman & Hall/CRC Cryptography and Network Security Series)

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends.

After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development.

Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing. It demonstrates why and how soft computing methodologies can be used in various video surveillance problems.

Table of Contents

1. Introduction to Video Surveillance Systems 1
2. The Role of Soft Computing in Image Analysis: Rough-Fuzzy Approach 33
3. Neural Networks in Video Surveillance: A Perspective View 59
4. Video Summarization and Significance of Content: A Review 79
5. Background Subtraction for Visual Surveillance: A Fuzzy Approach 103
6. Sensor and Data Fusion: Taxonomy, Challenges, and Applications 139
7. Independent Viewpoint Silhouette-Based Human Action Modeling and Recognition 185
8. Clustering for Multi-Perspective Video Analytics: A Soft Computing-Based Approach 211
9. An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content 237
10. Multi-Robot and Multi-Camera Patrolling 255
11. A Network of Audio and Video Sensors for Monitoring Large Environments 287