The Resource Intelligent video surveillance systems, edited by Jean-Yves Dufour, (electronic resource)

Intelligent video surveillance systems, edited by Jean-Yves Dufour, (electronic resource)

Label
Intelligent video surveillance systems
Title
Intelligent video surveillance systems
Statement of responsibility
edited by Jean-Yves Dufour
Contributor
Subject
Genre
Language
  • eng
  • eng
Summary
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 possi
Member of
Cataloging source
MiAaPQ
Dewey number
  • 621.389/28
  • 621.38928
Illustrations
illustrations
Index
index present
Language note
English
LC call number
TK6680.3
LC item number
.I58 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Dufour, Jean-Yves
Series statement
Networks and telecommunications series
http://library.link/vocab/subjectName
Video surveillance
Label
Intelligent video surveillance systems, edited by Jean-Yves Dufour, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • 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. Bibliography
  • Chapter 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. Bibliography
  • Chapter 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 modeling
  • 7.2.2. Motion-based detection of objects of interest
Dimensions
unknown
Extent
1 online resource (342 p.)
Form of item
online
Isbn
9781118577851
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)2670000000327567
  • (EBL)1120442
  • (OCoLC)827207823
  • (SSID)ssj0000904813
  • (PQKBManifestationID)11494810
  • (PQKBTitleCode)TC0000904813
  • (PQKBWorkID)10923892
  • (PQKB)11603403
  • (OCoLC)828890811
  • (MiAaPQ)EBC1120442
  • (EXLCZ)992670000000327567
Label
Intelligent video surveillance systems, edited by Jean-Yves Dufour, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • 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. Bibliography
  • Chapter 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. Bibliography
  • Chapter 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 modeling
  • 7.2.2. Motion-based detection of objects of interest
Dimensions
unknown
Extent
1 online resource (342 p.)
Form of item
online
Isbn
9781118577851
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)2670000000327567
  • (EBL)1120442
  • (OCoLC)827207823
  • (SSID)ssj0000904813
  • (PQKBManifestationID)11494810
  • (PQKBTitleCode)TC0000904813
  • (PQKBWorkID)10923892
  • (PQKB)11603403
  • (OCoLC)828890811
  • (MiAaPQ)EBC1120442
  • (EXLCZ)992670000000327567

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