Preface

In recent years, scientific and technological advances in areas such as computer vision, artificial intelligence and connectivity between systems and processes have created the conditions for the development and spread of intelligent video surveillance (IVS), a new field of research that has given rise to a considerable number of new studies exploring its uses and potential. With more and more cameras installed and the increasing complexity of the required algorithms, in-house self-contained video surveillance systems have become a necessity for most institutions and companies. New achievements in the field of IVS help not only storage space in the cloud (necessary for handling large amounts of video data), but also infrastructures and computational power to be distributed.

This book introduces the main features of IVS, and provides a case study where research-lab computer vision algorithms are integrated into an IVS solution. The lessons learned and some future directions for this topic are also discussed.

The book has two sections: the first explores different applications of intelligent video surveillance, and the second investigates new methodologies for introducing intelligence in video surveillance solutions.

The Editor warmly thanks all the chapter authors and hopes that the publication of this interesting book contributes to designing a future where technologies enable people to live comfortably, healthily, and mainly in peace.

> **Pier Luigi Mazzeo** National Research Council of Italy (CNR), Institute of Applied Sciences and Intelligent Systems (ISASI) Lecce, Italy

**1**

Section 1

Context-Driven Applications

Section 1
