Intelligent Video Event Analysis and Understanding:
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
|
Schriftenreihe: | Studies in Computational Intelligence
332 |
Schlagwörter: | |
Links: | https://doi.org/10.1007/978-3-642-17554-1 https://doi.org/10.1007/978-3-642-17554-1 https://doi.org/10.1007/978-3-642-17554-1 https://doi.org/10.1007/978-3-642-17554-1 https://doi.org/10.1007/978-3-642-17554-1 |
Beschreibung: | With the vast development of Internet and media technologies, intelligent video event analysis is a gradually growing field of research in recent decades. Significant challenges include how to handle background clutter, occlusions, as well as interactions. Another difficulty is the lacking of widely accepted definition of event in the literature. Though the research achievement is still far from its promise, steady progress has been made in past years. This book collects a set of selected contributions in this area from international experts including leading academic researchers, and industrial practitioners. It presents the latest advances of intelligent video event analysis in both theoretical and application viewpoints. Topics and features: · - Addresses the concept of events by introducing a double view of understanding meaningful events in gesture based interaction · - Investigates motion segmentation based on the subspace technique by incorporating the cues from the neighbourhood of intensity edges of images · - Provides the state of the art techniques on human action description, and recognition based on 3D spatial temporal features · - Presents efficient object localization and detection approaches in challenging scenes · - Describes motion analysis techniques in various applications including sports videos, household environment, and surveillance videos It provides researchers and practitioners a rich resource for future research directions and successful practice. It could also serve as a reference tool and handbook for researchers in a number of applications including visual surveillance, human-computer interaction, and video search and indexing, etc. Graduate students working on video analysis in various disciplines such as computer vision, pattern recognition, information security, artificial intelligence will also find it useful |
Umfang: | 1 Online-Ressource (X, 250p. 163 illus., 87 illus. in color) |
ISBN: | 9783642175541 |
DOI: | 10.1007/978-3-642-17554-1 |
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500 | |a With the vast development of Internet and media technologies, intelligent video event analysis is a gradually growing field of research in recent decades. Significant challenges include how to handle background clutter, occlusions, as well as interactions. Another difficulty is the lacking of widely accepted definition of event in the literature. Though the research achievement is still far from its promise, steady progress has been made in past years. This book collects a set of selected contributions in this area from international experts including leading academic researchers, and industrial practitioners. It presents the latest advances of intelligent video event analysis in both theoretical and application viewpoints. Topics and features: · - Addresses the concept of events by introducing a double view of understanding meaningful events in gesture based interaction · - Investigates motion segmentation based on the subspace technique by incorporating the cues from the neighbourhood of intensity edges of images · - Provides the state of the art techniques on human action description, and recognition based on 3D spatial temporal features · - Presents efficient object localization and detection approaches in challenging scenes · - Describes motion analysis techniques in various applications including sports videos, household environment, and surveillance videos It provides researchers and practitioners a rich resource for future research directions and successful practice. It could also serve as a reference tool and handbook for researchers in a number of applications including visual surveillance, human-computer interaction, and video search and indexing, etc. Graduate students working on video analysis in various disciplines such as computer vision, pattern recognition, information security, artificial intelligence will also find it useful | ||
505 | 0 | |a The Understanding of Meaningful Events in Gesture-Based Interaction -- Apply GPCA to Motion Segmentation -- Gait Analysis and Human Motion Tracking -- Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition -- Efficient Object Localization with Variation-Normalized Gaussianized Vectors -- Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes -- Understanding Sports Video Using Players Trajectories -- Real-Time Face Recognition from Surveillance Video -- Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes -- Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting -- Erratum: Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes | |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Zhang, Jianguo |
author_facet | Zhang, Jianguo |
author_role | aut |
author_sort | Zhang, Jianguo |
author_variant | j z jz |
building | Verbundindex |
bvnumber | BV041889732 |
classification_rvk | ST 300 |
collection | ZDB-2-ENG |
contents | The Understanding of Meaningful Events in Gesture-Based Interaction -- Apply GPCA to Motion Segmentation -- Gait Analysis and Human Motion Tracking -- Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition -- Efficient Object Localization with Variation-Normalized Gaussianized Vectors -- Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes -- Understanding Sports Video Using Players Trajectories -- Real-Time Face Recognition from Surveillance Video -- Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes -- Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting -- Erratum: Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes |
ctrlnum | (OCoLC)712216552 (DE-599)BVBBV041889732 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-642-17554-1 |
format | Electronic eBook |
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isbn | 9783642175541 |
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record_format | marc |
series2 | Studies in Computational Intelligence |
spelling | Zhang, Jianguo Verfasser aut Intelligent Video Event Analysis and Understanding edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones Berlin, Heidelberg Springer Berlin Heidelberg 2010 1 Online-Ressource (X, 250p. 163 illus., 87 illus. in color) txt rdacontent c rdamedia cr rdacarrier Studies in Computational Intelligence 332 With the vast development of Internet and media technologies, intelligent video event analysis is a gradually growing field of research in recent decades. Significant challenges include how to handle background clutter, occlusions, as well as interactions. Another difficulty is the lacking of widely accepted definition of event in the literature. Though the research achievement is still far from its promise, steady progress has been made in past years. This book collects a set of selected contributions in this area from international experts including leading academic researchers, and industrial practitioners. It presents the latest advances of intelligent video event analysis in both theoretical and application viewpoints. Topics and features: · - Addresses the concept of events by introducing a double view of understanding meaningful events in gesture based interaction · - Investigates motion segmentation based on the subspace technique by incorporating the cues from the neighbourhood of intensity edges of images · - Provides the state of the art techniques on human action description, and recognition based on 3D spatial temporal features · - Presents efficient object localization and detection approaches in challenging scenes · - Describes motion analysis techniques in various applications including sports videos, household environment, and surveillance videos It provides researchers and practitioners a rich resource for future research directions and successful practice. It could also serve as a reference tool and handbook for researchers in a number of applications including visual surveillance, human-computer interaction, and video search and indexing, etc. Graduate students working on video analysis in various disciplines such as computer vision, pattern recognition, information security, artificial intelligence will also find it useful The Understanding of Meaningful Events in Gesture-Based Interaction -- Apply GPCA to Motion Segmentation -- Gait Analysis and Human Motion Tracking -- Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition -- Efficient Object Localization with Variation-Normalized Gaussianized Vectors -- Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes -- Understanding Sports Video Using Players Trajectories -- Real-Time Face Recognition from Surveillance Video -- Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes -- Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting -- Erratum: Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes Engineering Artificial intelligence Computer vision Computational Intelligence Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Videobearbeitung (DE-588)4536854-5 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Objekterkennung (DE-588)4314334-9 gnd rswk-swf Ereignis (DE-588)4152718-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildverstehen (DE-588)4202022-0 gnd rswk-swf Bildfolgenanalyse (DE-588)4401858-7 gnd rswk-swf Bewegungsanalyse Technik (DE-588)4302721-0 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Videobearbeitung (DE-588)4536854-5 s Bildfolgenanalyse (DE-588)4401858-7 s Ereignis (DE-588)4152718-5 s Bildverstehen (DE-588)4202022-0 s Objekterkennung (DE-588)4314334-9 s Maschinelles Sehen (DE-588)4129594-8 s Bewegungsanalyse Technik (DE-588)4302721-0 s Mensch-Maschine-Kommunikation (DE-588)4125909-9 s 2\p DE-604 Shao, Ling Sonstige oth Zhang, Lei Sonstige oth Jones, Graeme A. Sonstige oth Erscheint auch als Druckausgabe 978-3-642-17553-4 https://doi.org/10.1007/978-3-642-17554-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Zhang, Jianguo Intelligent Video Event Analysis and Understanding The Understanding of Meaningful Events in Gesture-Based Interaction -- Apply GPCA to Motion Segmentation -- Gait Analysis and Human Motion Tracking -- Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition -- Efficient Object Localization with Variation-Normalized Gaussianized Vectors -- Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes -- Understanding Sports Video Using Players Trajectories -- Real-Time Face Recognition from Surveillance Video -- Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes -- Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting -- Erratum: Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes Engineering Artificial intelligence Computer vision Computational Intelligence Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Videobearbeitung (DE-588)4536854-5 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Objekterkennung (DE-588)4314334-9 gnd Ereignis (DE-588)4152718-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildverstehen (DE-588)4202022-0 gnd Bildfolgenanalyse (DE-588)4401858-7 gnd Bewegungsanalyse Technik (DE-588)4302721-0 gnd |
subject_GND | (DE-588)4536854-5 (DE-588)4125909-9 (DE-588)4314334-9 (DE-588)4152718-5 (DE-588)4129594-8 (DE-588)4202022-0 (DE-588)4401858-7 (DE-588)4302721-0 (DE-588)4143413-4 |
title | Intelligent Video Event Analysis and Understanding |
title_auth | Intelligent Video Event Analysis and Understanding |
title_exact_search | Intelligent Video Event Analysis and Understanding |
title_full | Intelligent Video Event Analysis and Understanding edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones |
title_fullStr | Intelligent Video Event Analysis and Understanding edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones |
title_full_unstemmed | Intelligent Video Event Analysis and Understanding edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones |
title_short | Intelligent Video Event Analysis and Understanding |
title_sort | intelligent video event analysis and understanding |
topic | Engineering Artificial intelligence Computer vision Computational Intelligence Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Videobearbeitung (DE-588)4536854-5 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Objekterkennung (DE-588)4314334-9 gnd Ereignis (DE-588)4152718-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildverstehen (DE-588)4202022-0 gnd Bildfolgenanalyse (DE-588)4401858-7 gnd Bewegungsanalyse Technik (DE-588)4302721-0 gnd |
topic_facet | Engineering Artificial intelligence Computer vision Computational Intelligence Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Videobearbeitung Mensch-Maschine-Kommunikation Objekterkennung Ereignis Maschinelles Sehen Bildverstehen Bildfolgenanalyse Bewegungsanalyse Technik Aufsatzsammlung |
url | https://doi.org/10.1007/978-3-642-17554-1 |
work_keys_str_mv | AT zhangjianguo intelligentvideoeventanalysisandunderstanding AT shaoling intelligentvideoeventanalysisandunderstanding AT zhanglei intelligentvideoeventanalysisandunderstanding AT jonesgraemea intelligentvideoeventanalysisandunderstanding |