Handbook on Soft Computing for Video Surveillance

Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena

January 25, 2012 by Chapman and Hall/CRC
Reference - 342 Pages - 110 B/W Illustrations
ISBN 9781439856840 - CAT# K12673
Series: Chapman & Hall/CRC Cryptography and Network Security Series


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  • Describes soft computing tools useful in video surveillance, such as neural networks, genetic algorithms, probabilistic reasoning, and the combination of fuzzy and rough sets
  • Includes an introduction to video surveillance systems for beginners
  • Presents methods and algorithms for detecting moving objects in video streams, tracking objects in video sequences, human action modeling and recognition from video sequences, automated video analysis, and detecting video shot boundaries
  • Provides examples of state-of-the-art surveillance systems, including a multi-camera, multi-robot system and a system using multiple audio and video sensors


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.


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