Intelligent Video Surveillance Systems

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.

Content: Chapter 1 Image Processing: Overview and Perspectives (pages 1–12): Henri MaitreChapter 2 Focus on Railway Transport (pages 13–32): Sebastien Ambellouis and Jean?Luc BruyelleChapter 3 A Posteriori Analysis for Investigative Purposes (pages 33–46): Denis Marraud, Benjamin Cepas, Sulzer Jean?Francoi, Christianne Mulat and Florence SedesChapter 4 Video Surveillance Cameras (pages 47–64): Cedric Le Barz and Thierry LamarqueChapter 5 Video Compression Formats (pages 65–86): Marc Leny and Didier NicholsonChapter 6 Compressed Domain Analysis for Fast Activity Detection (pages 87–102): Marc LenyChapter 7 Detection of Objects of Interest (pages 103–122): Yoann Dhome, Bertrand Luvison, Thierry Chesnais, Rachid Belaroussi, Laurent Lucat, Mohamed Chaouch and Patrick SaydChapter 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 PhamChapter 9 Tracking Objects of Interest Through a Camera Network (pages 147–164): Catherine Achard, Sebastien Ambellouis, Boris Meden, Sebastien Lefebvre and Dung Nghi Truong CongChapter 10 Biometric Techniques Applied to Video Surveillance (pages 165–182): Bernadette Dorizzi and Samuel VinsonChapter 11 Vehicle Recognition in Video Surveillance (pages 183–200): Stephane HerbinChapter 12 Activity Recognition (pages 201–218): Bernard Boulay and Francois BremondChapter 13 Unsupervised Methods for Activity Analysis and Detection of Abnormal Events (pages 219–234): Remi Emonet and Jean?Marc OdobezChapter 14 Data Mining in a Video Database (pages 235–250): Luis Patino, Hamid Benhadda and Francois BremondChapter 15 Analysis of Crowded Scenes in Video (pages 251–272): Mikel Rodriguez, Josef Sivic and Ivan LaptevChapter 16 Detection of Visual Context (pages 273–288): Herve Le Borgne and Aymen ShabouChapter 17 Example of an Operational Evaluation Platform: PPSL (pages 289–296): Stephane BraudelChapter 18 Qualification and Evaluation of Performances (pages 297–314): Bernard Boulay, Jean?Francois Goudou and Francois Bremond