Intelligent Video Surveillance Systems

Intelligent Video Surveillance Systems

Editor(s): Jean-Yves Dufour

Published Online: 5 FEB 2013

Print ISBN: 9781848214330

Online ISBN: 9781118577851

DOI: 10.1002/9781118577851

About this Book

Belonging to the wider academic field of computer vision, video analytics has aroused a phenomenal surge of interest since the current millennium. Video analytics is intended to solve the problem of the incapability of exploiting video streams in real time for the purpose of detection or anticipation. It involves analyzing the videos using algorithms that detect and track objects of interest over time and that indicate the presence of events or suspect behavior involving these objects.
The aims of this book are to highlight the operational attempts of video analytics, to identify possible driving forces behind potential evolutions in years to come, and above all to present the state of the art and the technological hurdles which have yet to be overcome. The need for video surveillance is introduced through two major applications (the security of rail transportation systems and a posteriori investigation). The characteristics of the videos considered are presented through the cameras which enable capture and the compression methods which allow us to transport and store them. Technical topics are then discussed - the analysis of objects of interest (detection, tracking and recognition), "high-level" video analysis, which aims to give a semantic interpretation of the observed scene (events, behaviors, types of content). The book concludes with the problem of performance evaluation.

Table of contents

    1. You have free access to this content
    2. Chapter 3

      A Posteriori Analysis for Investigative Purposes (pages 33–46)

      Denis Marraud, Benjamin Cépas, Sulzer Jean-Françoi, Christianne Mulat and Florence Sédes

    3. Chapter 7

      Detection of Objects of Interest (pages 103–122)

      Yoann Dhome, Bertrand Luvison, Thierry Chesnais, Rachid Belaroussi, Laurent Lucat, Mohamed Chaouch and Patrick Sayd

    4. Chapter 8

      Tracking of Objects of Interest in a Sequence of Images (pages 123–146)

      Simona Maggio, Jean-Emmanuel Haugeard, Boris Meden, Bertrand Luvison, Romaric Audigier, Brice Burger and Quoc Cuong Pham

    5. Chapter 9

      Tracking Objects of Interest Through a Camera Network (pages 147–164)

      Catherine Achard, Sébastien Ambellouis, Boris Meden, Sébastien Lefebvre and Dung Nghi Truong Cong

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    7. You have free access to this content

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