Machine Learning for Human Motion Analysis: Theory and Practice (Premier Reference Source)

✍ Scribed by Liang Wang, Li Cheng, Guoying Zhao, Liang Wang, Li Cheng, Guoying Zhao

Publisher: Medical Information Science Reference
Year: 2009
Tongue: English
Leaves: 318
Series: Premier Reference Source
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage.

Machine Learning for Human Motion Analysis: Theory and Practice highlights the development of robust and effective vision-based motion understanding systems. This advanced publication addresses a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval."

✦ Table of Contents

Title
......Page 2
List of Reviewers......Page 4
Table of Contents......Page 5
Detailed Table of Contents......Page 8
Preface......Page 14
Acknowledgment......Page 18
Human Motion Tracking in Video: A Practical Approach......Page 20
Learning to Recognise Spatio-Temporal Interest Points......Page 33
Graphical Models for Representation and Recognition of Human Actions......Page 50
Common Spatial Patterns for Real-Time Classification of Human Actions......Page 74
KSM Based Machine Learning for Markerless Motion Capture......Page 93
Multi-Scale People Detection and Motion Analysis for Video Surveillance......Page 126
A Generic Framework for 2D and 3D Upper Body Tracking......Page 152
Real-Time Recognition of Basic Human Actions......Page 171
Fast Categorisation of Articulated Human Motion......Page 189
Human Action Recognition with Expandable Graphical Models......Page 206
Detection and Classification of Interacting Persons......Page 232
Action Recognition......Page 247
Distillation: A Super-Resolution Approach for the Selective Analysis of Noisy and Unconstrained Video Sequences......Page 263
Compilation of References......Page 284
About the Contributors......Page 305
Index......Page 314

📜 SIMILAR VOLUMES

Machine Learning for Human Motion Analys

📁 Machine Learning for Human Motion Analysis: Theory and Practice (Premier Reference Source)

✍ Liang Wang, Li Cheng, Guoying Zhao, Liang Wang, Li Cheng, Guoying Zhao 📂 Library 📅 2009 🏛 Medical Information Science Reference 🌐 English

"With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Th

Biomedical Image Analysis and Machine Le

📁 Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques (Premier Reference Source)

✍ Fabio A. Gonzalez, Eduardo Romero, Fabio A. Gonzalez, Eduardo Romero 📂 Library 📅 2009 🏛 Medical Information Science Reference 🌐 English

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical

Gaming and Cognition: Theories and Pract

📁 Gaming and Cognition: Theories and Practice from the Learning Sciences (Premier Reference Source)

✍ Richard Van Eck 📂 Library 📅 2010 🏛 Information Science Publishing 🌐 English

The idea that games can have positive impacts upon critical thinking and problem solving is widely accepted in today s digital society, yet the effect of video games on human cognition is still largely unexplored. Gaming and Cognition: Theories And Practice From The Learning Sciences applies the

Interactive Whiteboards for Education: T

📁 Interactive Whiteboards for Education: Theory, Research and Practice (Premier Reference Source)

✍ Michael Thomas, Euline Cutrim Schmid 📂 Library 📅 2010 🏛 Information Science Reference 🌐 English

Interactive Whiteboards for Education: Theory, Research and Practice emphasizes the importance of professional development, credible educational research, and dialogue between teachers, administrators, policymakers and learners. This book intends to guide and inform the process of technology integra

Machine Learning for Vision-based Motion

📁 Machine Learning for Vision-based Motion Analysis: Theory and Techniques

✍ Tomoya Sakai, Atsushi Imiya (auth.), Liang Wang, Guoying Zhao, Li Cheng, Matti P 📂 Library 📅 2011 🏛 Springer-Verlag London 🌐 English

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 analy

Machine Learning for Vision-Based Motion

📁 Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

✍ Tomoya Sakai, Atsushi Imiya (auth.), Liang Wang, Guoying Zhao, Li Cheng, Matti P 📂 Library 📅 2011 🏛 Springer-Verlag London 🌐 English

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 analy