The Resource Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource)
Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource)
Resource Information
The item Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- Summary
-
- 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
- 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
- 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
- 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
- Language
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- Isbn
- 9783642175534
- Label
- Intelligent Video Event Analysis and Understanding
- Title
- Intelligent Video Event Analysis and Understanding
- Statement of responsibility
- edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones
- Language
- eng
- Summary
-
- 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
- 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
- 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
- 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
- http://library.link/vocab/creatorName
- Zhang, Jianguo
- Dewey number
- 006.3
- LC call number
- Q342
- http://library.link/vocab/relatedWorkOrContributorName
-
- Shao, Ling
- Zhang, Lei
- Jones, Graeme A
- SpringerLink (Online service)
- Series statement
- Studies in Computational Intelligence,
- Series volume
- 332
- http://library.link/vocab/subjectName
-
- Engineering
- Artificial intelligence
- Computer vision
- Engineering
- Computational Intelligence
- Signal, Image and Speech Processing
- Image Processing and Computer Vision
- Artificial Intelligence (incl. Robotics)
- Label
- Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource)
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- Control code
- OCM1bookssj0000476309
- Dimensions
- unknown
- Isbn
- 9783642175534
- Isbn Type
- (print)
- Other control number
- 10.1007/978-3-642-17554-1
- Specific material designation
- remote
- System control number
- (WaSeSS)bookssj0000476309
- Label
- Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource)
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- 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 Vector Representation -- 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
- Control code
- OCM1bookssj0000476309
- Dimensions
- unknown
- Isbn
- 9783642175534
- Isbn Type
- (print)
- Other control number
- 10.1007/978-3-642-17554-1
- Specific material designation
- remote
- System control number
- (WaSeSS)bookssj0000476309
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Intelligent-Video-Event-Analysis-and/bGhMQ5DGdZk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Intelligent-Video-Event-Analysis-and/bGhMQ5DGdZk/">Intelligent Video Event Analysis and Understanding, edited by Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
