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Biblioteca

MARC Lista (tabellare)
IEEE Std 475-2000 : IEEE standard measurement procedure for field disturbance sensors 300 MHz to 40 GHz / / IEEE
IEEE Std 475-2000 : IEEE standard measurement procedure for field disturbance sensors 300 MHz to 40 GHz / / IEEE
Pubbl/distr/stampa [Place of publication not identified] : , : IEEE, , 2000
Descrizione fisica 1 online resource
Disciplina 621.38928
Soggetto topico Electronic alarm systems
Energy systems
ISBN 0-7381-2493-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti IEEE Std 475-2000: IEEE Standard Measurement Procedure for Field Disturbance Sensors 300 MHz to 40 GHz
Record Nr. UNISA-996279415803316
[Place of publication not identified] : , : IEEE, , 2000
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IEEE Std 802.1AR-2018 (Revision of IEEE Std 802.1AR-2009) - Redline : IEEE Standard for Local and Metropolitan Area Networks - Secure Device Identity - Redline / / Institute of Electrical and Electronics Engineers
IEEE Std 802.1AR-2018 (Revision of IEEE Std 802.1AR-2009) - Redline : IEEE Standard for Local and Metropolitan Area Networks - Secure Device Identity - Redline / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa New York, New York : , : IEEE, , 2018
Descrizione fisica 1 online resource (163 pages)
Disciplina 621.38928
Soggetto topico Electronic security systems
ISBN 1-5044-5698-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti IEEE Std 802.1AR-2018
Record Nr. UNINA-9910318355403321
New York, New York : , : IEEE, , 2018
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IEEE Std 802.1AR-2018 (Revision of IEEE Std 802.1AR-2009) - Redline : IEEE Standard for Local and Metropolitan Area Networks - Secure Device Identity - Redline / / Institute of Electrical and Electronics Engineers
IEEE Std 802.1AR-2018 (Revision of IEEE Std 802.1AR-2009) - Redline : IEEE Standard for Local and Metropolitan Area Networks - Secure Device Identity - Redline / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa New York, New York : , : IEEE, , 2018
Descrizione fisica 1 online resource (163 pages)
Disciplina 621.38928
Soggetto topico Electronic security systems
ISBN 1-5044-5698-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti IEEE Std 802.1AR-2018
Record Nr. UNISA-996577966403316
New York, New York : , : IEEE, , 2018
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Intelligent Video Surveillance : New Perspectives / / Pier Luigi Mazzeo, editor
Intelligent Video Surveillance : New Perspectives / / Pier Luigi Mazzeo, editor
Pubbl/distr/stampa London : , : IntechOpen, , 2023
Descrizione fisica 1 online resource (176 pages)
Disciplina 621.38928
Soggetto topico Video surveillance
ISBN 1-80356-342-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910678590503321
London : , : IntechOpen, , 2023
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Intelligent Video Surveillance / / edited by António José Ribeiro Neves
Intelligent Video Surveillance / / edited by António José Ribeiro Neves
Pubbl/distr/stampa London, United Kingdom : , : IntechOpen, , 2019
Descrizione fisica 1 online resource (166 pages)
Disciplina 621.38928
Soggetto topico Video surveillance
ISBN 1-83962-076-5
1-78985-028-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910317957503321
London, United Kingdom : , : IntechOpen, , 2019
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Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (342 p.)
Disciplina 621.389/28
621.38928
Altri autori (Persone) DufourJean-Yves
Collana Networks and telecommunications series
Soggetto topico Video surveillance
Soggetto genere / forma Electronic books.
ISBN 1-118-57785-X
1-299-18691-2
1-118-57786-8
1-118-57793-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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
Record Nr. UNINA-9910141504003321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (342 p.)
Disciplina 621.389/28
621.38928
Altri autori (Persone) DufourJean-Yves
Collana Networks and telecommunications series
Soggetto topico Video surveillance
ISBN 1-118-57785-X
1-299-18691-2
1-118-57786-8
1-118-57793-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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
Record Nr. UNINA-9910831080603321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Intelligent video surveillance systems [[electronic resource] /] / edited by Jean-Yves Dufour
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (342 p.)
Disciplina 621.389/28
621.38928
Altri autori (Persone) DufourJean-Yves
Collana Networks and telecommunications series
Soggetto topico Video surveillance
ISBN 1-118-57785-X
1-299-18691-2
1-118-57786-8
1-118-57793-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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
Record Nr. UNINA-9910841108903321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Visual Surveillance [[electronic resource] ] : 4th Chinese Conference, IVS 2016, Beijing, China, October 19, 2016, Proceedings / / edited by Zhang Zhang, Kaiqi Huang
Intelligent Visual Surveillance [[electronic resource] ] : 4th Chinese Conference, IVS 2016, Beijing, China, October 19, 2016, Proceedings / / edited by Zhang Zhang, Kaiqi Huang
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XII, 163 p. 71 illus.)
Disciplina 621.38928
Collana Communications in Computer and Information Science
Soggetto topico Optical data processing
Artificial intelligence
Pattern recognition
Biometrics (Biology)
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
Biometrics
ISBN 981-10-3476-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Low-level preprocessing, surveillance systems -- Tracking, robotics -- Identification, detection, recognition -- Behavior, activities, crowd analysis.
Record Nr. UNINA-9910255020303321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligente Videoanalyse [[electronic resource] ] : Handbuch für die Praxis / / Torsten Anstädt, Ivo Keller und Harald Lutz
Intelligente Videoanalyse [[electronic resource] ] : Handbuch für die Praxis / / Torsten Anstädt, Ivo Keller und Harald Lutz
Autore Anstädt Torsten
Edizione [1. Aufl.]
Pubbl/distr/stampa Weinheim, : Wiley-VCH, 2010
Descrizione fisica 1 online resource (165 p.)
Disciplina 511.8 21
621.38928
Altri autori (Persone) KellerIvo
LutzHarald
Soggetto topico Video surveillance
Image analysis
Computational complexity
Algorithms
Soggetto genere / forma Electronic books.
ISBN 1-283-14056-X
9786613140562
3-527-63297-2
3-527-63296-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Intelligente Videoanalyse; Inhaltsverzeichnis; Vorwort; 1 Historie und wissenschaftliche Perspektive; 2 Algorithmen der intelligenten Videoanalyse; 2.1 Klassische Bewegungserkennung - Motion Detection; 2.2 Personenmodelle; 2.3 Vordergrund-/Hintergrundanalyse; 2.4 Maschinelles Lernen; 2.5 Mustererkennung; 2.6 Zweidimensionale Abbildung einer dreidimensionalen Welt; 2.6.1 Erkennung von 3D-Objekten; 2.6.2 Lokalisierung im Grundriss; 2.6.3 Szeneninterpretation im Grundriss; 2.7 Objekttracking; 2.8 Szeneninterpretation; 2.8.1 Mustererkennung im Grundriss; 2.8.2 Personen mit stereotypen Verhalten
3 Einsatzgebiete der Videoanalyse3.1 Intelligente Kamera versus PC-gestützte Auswertung; 3.1.1 Die Rechenleistung; 3.1.2 Die Anlagengröße; 3.1.3 Zukunftssicherheit; 3.1.4 Handhabung; 3.1.5 Fazit; 3.2 Infrarot-Licht, atmosphärische Fenster, Eigenstrahlung - Sehen in dunklen Welten; 3.2.1 Auslesen; 3.2.2 Interlacing; 3.3 Terahertz-Wellen - Sehen zwischen Licht und Radar; 3.4 Motion Tracking; 3.4.1 Allgemeine Bewegungsdetektion; 3.4.2 Erweiterte Bewegungsdetektion; 3.4.3 Motion Tracking für allgemeine Aufgaben; 3.4.4 Perspektivisch arbeitendes Motion Tracking
3.4.5 Motion Tracking mit verschiedenen Kamerawinkeln3.4.6 Derzeitige Grenzen und Weiterentwicklung; 3.5 Klassifikation; 3.5.1 Objektklassifikation; 3.5.2 Klassifikation von Fahrzeugen; 3.5.3 Klassifikation von Lebewesen; 3.6 Perimeterschutz; 3.6.1 Einteilung der Schutzzonen; 3.6.2 Motion Tracking mit verschiedenen Kamerawinkeln; 3.6.3 Werkzeuge zur Alarmauslösung; 3.6.4 Regeln und Makros; 3.7 Gesichtsdetektion - auf die richtige Größe kommt es an; 3.8 Gesichtserkennung - Auflösung ist alles; 3.9 Branderkennung - Kontrast muss sein; 3.10 Zählung; 3.10.1 Gründe für das Zählen
3.10.2 Personenzählung3.10.3 Sonstige Zählungen; 4 Praxisbeispiele aus vier Anwendungsbereichen; Was will der Kunde wirklich erreichen?; Alternative Sensoren als sinnvolle Ergänzung; 4.1 Der Bahnhof; 4.1.1 Bahnhofsvorplatz; 4.1.2 Reisezentrum; 4.1.3 Shoppingcenter; 4.1.4 Bahnsteig und Schienen; 4.1.5 Schließfächer; 4.1.6 Tunnels; 4.1.7 Diebstahl aus den Dieseltanks; 4.1.8 Graffiti-Malen, Kofferbomben, Schlägereien - Wünsche und Grenzen der Analysemöglichkeiten; 4.2 Flughäfen; 4.2.1 Parkplätze und Parkhäuser; 4.2.2 Check-In; 4.2.3 Passkontrolle und Selbstkontrolle als Pilotprojekt
4.2.4 Security Check4.2.5 Gepäckverladung; 4.2.6 Gates; 4.2.7 Flughafenvorfeld; 4.2.8 Gesundheits-Check; 4.2.9 Gebäudemanagement; 4.3 Einzelhandel - Retail; 4.3.1 Parkplatz; 4.3.2 Gebäudesicherung; 4.3.3 Warensicherung von der Anlieferung bis zum Verkauf; 4.3.4 Erpressung; 4.3.5 Kasse oder Geldautomat; 4.3.6 Personalmanagement; 4.3.7 Marketing Analyse; 4.4 Banken; 4.4.1 Gebäudeschutz Tag und Nacht; 4.4.2 Geldautomaten im 24-Stundenbereich; 4.4.3 Filialenschutz; 4.4.4 Geldzählkontrolle; 4.4.5 Marketing-Analysen und Werbewirksamkeitskontrolle; 4.5 Autobahn- und Stadtverkehr
4.5.1 Geschwindigkeit
Record Nr. UNINA-9910139420703321
Anstädt Torsten  
Weinheim, : Wiley-VCH, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
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