Author: Johannes M. Zanker
Publisher: Springer Science & Business Media
ISBN: 3642565506
Category : Science
Languages : en
Pages : 424
Book Description
In six parts, this book considers the extent to which computational, neural, and ecological constraints have shaped the mechanisms underlying motion vision: - Early Motion Vision - Motion Signals for Local and Global Analysis - Optical Flow Patterns - Motion Vision in Action - Neural Coding of Motion - Motion in Natural Environments Each topic is introduced by a keynote chapter which is accompanied by several companion articles. Written by an international group of experts in neurobiology, psychophysics, animal behaviour, machine vision, and robotics, the book is designed to explore as comprehensively as possible the present state of knowledge concerning the principal factors that have guided the evolution of motion vision.
Motion Vision
Author: Johannes M. Zanker
Publisher: Springer Science & Business Media
ISBN: 3642565506
Category : Science
Languages : en
Pages : 424
Book Description
In six parts, this book considers the extent to which computational, neural, and ecological constraints have shaped the mechanisms underlying motion vision: - Early Motion Vision - Motion Signals for Local and Global Analysis - Optical Flow Patterns - Motion Vision in Action - Neural Coding of Motion - Motion in Natural Environments Each topic is introduced by a keynote chapter which is accompanied by several companion articles. Written by an international group of experts in neurobiology, psychophysics, animal behaviour, machine vision, and robotics, the book is designed to explore as comprehensively as possible the present state of knowledge concerning the principal factors that have guided the evolution of motion vision.
Publisher: Springer Science & Business Media
ISBN: 3642565506
Category : Science
Languages : en
Pages : 424
Book Description
In six parts, this book considers the extent to which computational, neural, and ecological constraints have shaped the mechanisms underlying motion vision: - Early Motion Vision - Motion Signals for Local and Global Analysis - Optical Flow Patterns - Motion Vision in Action - Neural Coding of Motion - Motion in Natural Environments Each topic is introduced by a keynote chapter which is accompanied by several companion articles. Written by an international group of experts in neurobiology, psychophysics, animal behaviour, machine vision, and robotics, the book is designed to explore as comprehensively as possible the present state of knowledge concerning the principal factors that have guided the evolution of motion vision.
Motion Vision
Author: Johannes M. Zanker
Publisher: Springer Science & Business Media
ISBN: 9783540651666
Category : Computers
Languages : en
Pages : 424
Book Description
Originated from a small workshop on the question of how image motion is processed under natural conditions that was held in 1997 at the Institute of Advanced Studies of the Australian National University in Canberra."--Pref.
Publisher: Springer Science & Business Media
ISBN: 9783540651666
Category : Computers
Languages : en
Pages : 424
Book Description
Originated from a small workshop on the question of how image motion is processed under natural conditions that was held in 1997 at the Institute of Advanced Studies of the Australian National University in Canberra."--Pref.
Motion Vision
Author: J. Kolodko
Publisher: IET
ISBN: 0863414532
Category : Technology & Engineering
Languages : en
Pages : 458
Book Description
This comprehensive book deals with motion estimation for autonomous systems from a biological, algorithmic and digital perspective. An algorithm, which is based on the optical flow constraint equation, is described in detail.
Publisher: IET
ISBN: 0863414532
Category : Technology & Engineering
Languages : en
Pages : 458
Book Description
This comprehensive book deals with motion estimation for autonomous systems from a biological, algorithmic and digital perspective. An algorithm, which is based on the optical flow constraint equation, is described in detail.
Vision in Motion
Author: László Moholy-Nagy
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Dynamic Vision for Perception and Control of Motion
Author: Ernst Dieter Dickmanns
Publisher: Springer Science & Business Media
ISBN: 1846286387
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
This book on autonomous road-following vehicles brings together twenty years of innovation in the field. The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques.
Publisher: Springer Science & Business Media
ISBN: 1846286387
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
This book on autonomous road-following vehicles brings together twenty years of innovation in the field. The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques.
Machine Learning for Vision-Based Motion Analysis
Author: Liang Wang
Publisher: Springer Science & Business Media
ISBN: 0857290576
Category : Computers
Languages : en
Pages : 377
Book Description
Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Publisher: Springer Science & Business Media
ISBN: 0857290576
Category : Computers
Languages : en
Pages : 377
Book Description
Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Vision in Motion
Author: Michael F. Zimmermann
Publisher:
ISBN: 9783037349076
Category : ART
Languages : en
Pages : 656
Book Description
Publisher:
ISBN: 9783037349076
Category : ART
Languages : en
Pages : 656
Book Description
Life in Motion
Author: Rollin E. Becker
Publisher: Works of Rollin E. Becker
ISBN: 9780967585109
Category : Health & Fitness
Languages : en
Pages : 0
Book Description
Reveals Rollin Becker's deep insight into cranial osteopathy: inspiring generations of practitioners; teaching about the nature of health and healing; and how we can apply this understanding through osteopathic manipulation.
Publisher: Works of Rollin E. Becker
ISBN: 9780967585109
Category : Health & Fitness
Languages : en
Pages : 0
Book Description
Reveals Rollin Becker's deep insight into cranial osteopathy: inspiring generations of practitioners; teaching about the nature of health and healing; and how we can apply this understanding through osteopathic manipulation.
Intelligent Robots and Computer Vision VIII
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 396
Book Description
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 396
Book Description
Human Motion
Author: Bodo Rosenhahn
Publisher: Springer Science & Business Media
ISBN: 1402066929
Category : Computers
Languages : en
Pages : 628
Book Description
This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.
Publisher: Springer Science & Business Media
ISBN: 1402066929
Category : Computers
Languages : en
Pages : 628
Book Description
This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.