Introduction to Video and Image Processing: Building Real Systems and Applications

Springer Science & Business Media
2
Free sample

In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects like object motion and changes in lighting.

This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.

Topics and features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics, with the necessary basics covered in an appendix; presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website; concludes each chapter with pointers to additional concepts, methods and details not covered in the book; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.

This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.

Read more

About the author

Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.

Read more
5.0
2 total
Loading...

Additional Information

Publisher
Springer Science & Business Media
Read more
Published on
Jan 25, 2012
Read more
Pages
227
Read more
ISBN
9781447125037
Read more
Language
English
Read more
Genres
Computers / Computer Graphics
Computers / Computer Science
Computers / Computer Vision & Pattern Recognition
Computers / Desktop Applications / Design & Graphics
Computers / Interactive & Multimedia
Computers / Optical Data Processing
Computers / Software Development & Engineering / General
Computers / User Interfaces
History / General
Read more
Content Protection
This content is DRM protected.
Read more

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports.

Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play.

Topics and features: describes the latest research into ball tracking, addressing the challenges posed by the presence of occlusions and the use of only a small number of cameras; reviews various systems for player tracking and pose estimation; presents approaches for the improved generation of statistics and synthesis of virtual views; explores the “higher level” analysis of sports, from identifying types of sports to recognizing particular team behaviors based on multiple event or motion detections; discusses the detection of specific kinds of events for automatic highlights generation or searching of video archives.

The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.

Prof. Thomas B. Moeslund is Head of Media Technology, Aalborg, and Head of the Visual Analysis of People Lab at Aalborg University, Denmark. Dr. Graham Thomas leads the Immersive and Interactive Content team at BBC Research & Development, London, UK. Prof. Adrian Hilton is Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, Guildford, UK.

Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.

Topics and features: with a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.

Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.

Topics and features: with a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.

The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports.

Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play.

Topics and features: describes the latest research into ball tracking, addressing the challenges posed by the presence of occlusions and the use of only a small number of cameras; reviews various systems for player tracking and pose estimation; presents approaches for the improved generation of statistics and synthesis of virtual views; explores the “higher level” analysis of sports, from identifying types of sports to recognizing particular team behaviors based on multiple event or motion detections; discusses the detection of specific kinds of events for automatic highlights generation or searching of video archives.

The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.

Prof. Thomas B. Moeslund is Head of Media Technology, Aalborg, and Head of the Visual Analysis of People Lab at Aalborg University, Denmark. Dr. Graham Thomas leads the Immersive and Interactive Content team at BBC Research & Development, London, UK. Prof. Adrian Hilton is Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, Guildford, UK.

©2018 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.