Intelligent Video Surveillance Systems

Jean-Yves Dufour 지음

Wiley-ISTE 2012년 12월 14일 출간

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책소개

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 n- the analysis of objects of interest (detection, tracking and recognition), ldquo;high-levelrdquo; 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.

목차

Introduction xiiiJean-Yves DUFOUR and Phlippe MOUTTOU&Chapter 1. Image Processing: Overview and Perspectives 1Henri MAÎTRE1.1. Half a century ago 11.2. The use of images 31.3. Strengths and weaknesses of image processing 41.3.1. What are these theoretical problems that image processing has been unable to overcome?& 51.3.2. What are the problems that image processing has overcome? 51.4. What is left for the future? 61.5. Bibliography 9Chapter 2. Focus on Railway Transport 13S&e'bastien AMBELLOUIS and Jean-Luc BRUYELLE2.1. Introduction. 132.2. Surveillance of railway infrastructures 152.2.1. Needs analysis 152.2.2. Which architectures? 162.2.3. Detection and analysis of complex events& 172.2.4. Surveillance of outside infrastructures 202.3. Onboard surveillance 212.3.1. Surveillance of buses 222.3.2. Applications to railway transport 232.4. Conclusion 282.5. Bibliography 30Chapter 3. A Posteriori Analysis for Investigative Purposes 33Denis MARRAUD, Benjamin C&E'PAS, Jean-François SULZER, Christianne MULAT and Florence SÈDES3.1. Introduction 333.2. Requirements in tools for assisted investigation 343.2.1. Prevention and security 343.2.2. Information gathering 353.2.3. Inquiry 363.3. Collection and storage of data 363.3.1. Requirements in terms of standardization& 373.3.2. Attempts at standardization (AFNOR and ISO) 373.4. Exploitation of the data 393.4.1. Content-based indexing 393.4.2. Assisted investigation tools 433.5. Conclusion 443.6. Bibliography 45Chapter 4. Video Surveillance Cameras 47C&e'dric LE BARZ and Thierry LAMARQUE4.1. Introduction 474.2. Constraints 484.2.1. Financi

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저자(글) Jean-Yves Dufour