05232nam 2200637 a 450 991014150400332120170815165043.01-118-57785-X1-299-18691-21-118-57786-81-118-57793-0(CKB)2670000000327567(EBL)1120442(OCoLC)827207823(SSID)ssj0000904813(PQKBManifestationID)11494810(PQKBTitleCode)TC0000904813(PQKBWorkID)10923892(PQKB)11603403(OCoLC)828890811(MiAaPQ)EBC1120442(EXLCZ)99267000000032756720130301d2013 uy 0engur|n|---|||||txtccrIntelligent video surveillance systems[electronic resource] /edited by Jean-Yves DufourLondon ISTE ;Hoboken, N.J. Wiley20131 online resource (342 p.)Networks and telecommunications seriesDescription based upon print version of record.1-84821-433-2 Includes bibliographical references and index.Title Page; Contents; Introduction; Chapter 1. Image Processing: Overview and Perspectives; 1.1. Half a century ago; 1.2. The use of images; 1.3. Strengths and weaknesses of image processing; 1.3.1. What are these theoretical problems that image processing has been unable to overcome?; 1.3.2. What are the problems that image processing has overcome?; 1.4. What is left for the future?; 1.5. Bibliography; Chapter 2. Focus on Railway Transport; 2.1. Introduction; 2.2. Surveillance of railway infrastructures; 2.2.1. Needs analysis; 2.2.2. Which architectures?2.2.3. Detection and analysis of complex events2.2.4. Surveillance of outside infrastructures; 2.3. Onboard surveillance; 2.3.1. Surveillance of buses; 2.3.2. Applications to railway transport; 2.4. Conclusion; 2.5. Bibliography; Chapter 3. A Posteriori Analysis for Investigative Purposes; 3.1. Introduction; 3.2. Requirements in tools for assisted investigation; 3.2.1. Prevention and security; 3.2.2. Information gathering; 3.2.3. Inquiry; 3.3. Collection and storage of data; 3.3.1. Requirements in terms of standardization; 3.3.2. Attempts at standardization (AFNOR and ISO)3.4. Exploitation of the data3.4.1. Content-based indexing; 3.4.2. Assisted investigation tools; 3.5. Conclusion; 3.6. Bibliography; Chapter 4. Video Surveillance Cameras; 4.1. Introduction; 4.2. Constraints; 4.2.1. Financial constraints; 4.2.2. Environmental constraints; 4.3. Nature of the information captured; 4.3.1. Spectral bands; 4.3.2. 3D or "2D + Z" imaging; 4.4. Video formats; 4.5. Technologies; 4.6. Interfaces: from analog to IP; 4.6.1. From analog to digital; 4.6.2. The advent of IP; 4.6.3. Standards; 4.7. Smart cameras; 4.8. Conclusion; 4.9. BibliographyChapter 5. Video Compression Formats5.1. Introduction; 5.2. Video formats; 5.2.1. Analog video signals; 5.2.2. Digital video: standard definition; 5.2.3. High definition; 5.2.4. The CIF group of formats; 5.3. Principles of video compression; 5.3.1. Spatial redundancy; 5.3.2. Temporal redundancy; 5.4. Compression standards; 5.4.1. MPEG-2; 5.4.2. MPEG-4 Part 2; 5.4.3. MPEG-4 Part 10/H.264 AVC; 5.4.4. MPEG-4 Part 10/H.264 SVC; 5.4.5. Motion JPEG 2000; 5.4.6. Summary of the formats used in video surveillance; 5.5. Conclusion; 5.6. BibliographyChapter 6. Compressed Domain Analysis for Fast Activity Detection6.1. Introduction; 6.2. Processing methods; 6.2.1. Use of transformed coefficients in the frequency domain; 6.2.2. Use of motion estimation; 6.2.3. Hybrid approaches; 6.3. Uses of analysis of the compressed domain; 6.3.1. General architecture; 6.3.2. Functions for which compressed domain analysis is reliable; 6.3.3. Limitations; 6.4. Conclusion; 6.5. Acronyms; 6.6. Bibliography; Chapter 7. Detection of Objects of Interest; 7.1. Introduction; 7.2. Moving object detection; 7.2.1. Object detection using background modeling7.2.2. Motion-based detection of objects of interest 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 possiISTEVideo surveillanceElectronic books.Video surveillance.621.389/28621.38928Dufour Jean-Yves969027MiAaPQMiAaPQMiAaPQBOOK9910141504003321Intelligent video surveillance systems2201502UNINA00981nam a2200265 i 450099100081236970753620020506124509.0930413s1989 it ||| | ita b10133033-39ule_instLE00637246ExLDip.to Fisicaita652.9.3912Istituto Universitario Navale9285Annali della Facoltà di Scienze nautiche /Istituto Universitario NavaleNapoli :Istituto Universitario Navale,c1989218 p.Annali della Facoltà di Scienze Nautiche / Istituto Universitario Navale ;LVI.b1013303317-02-1727-06-02991000812369707536LE006 52.9.3 IUN12006000024877le006-E0.00-l- 00000.i1015611227-06-02Annali della Facoltà di Scienze nautiche185981UNISALENTOle00601-01-93ma -itait 01