Video Tracking Theory and Practice

This book provides the reader with a treatment of the fundamental aspects of algorithm and application development for video-based tracking. It describes the state-of-the-art algorithms in feature extraction, object detection, object tracking and their performance evaluation. Various video-based tracking applications are described such as surveillance, robotics, smart environments, video editing and human-computer interfaces. Appendices containing a collection of software resources and publicly available datasets to help the reader develop and test a video-based tracker, and a list of manufacturers and service companies that offer hardware solutions for visual target tracking One of the only books offering a comprehensive coverage of video-based tracking and its applications The authors have over 10 years of research and development experience in the field and so offer a practical perspective on video-based tracking Discusses the design choices and implementation issues that are required to turn the underlying mathematical modelling into a real-world effective system Companion website hosting PowerPoint presentation supporting the book material including datasets for the development of a video-based tracker

Dr Emilio Maggio, Vicon, UK
Dr Maggio is Computer Vision Scientist at Vicon, the motion capture worldwide market leader. From 2004 – 2008 he was a Ph.D. student at the Department of Electronic Engineering, Queen Mary, University of London. In 2005 and again in 2007 he was awarded the best student paper prize at ICASSP. Dr Maggio has acted as a reviewer for the IEEE Transactions on Circuits and Systems for Video Technology, the International Journal of Image and Graphics and ACM Multimedia.

Dr Andrea Cavallaro, School of Electronic Engineering and Computer Science, Queen Mary, University of London, UK
Dr Cavallaro is Reader in Multimedia Signal Processing at Queen Mary, University of London. He is the author of more than 70 papers, including 5 book chapters. He is an elected member of the IEEE Signal Processing Society, Multimedia Signal Processing Committee. He has been a member of the organizing/ technical committee for several international conferences such as Technical Chair of EUSIPCO 08 and General Chair of the IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2007), with General Chair positions being held for forthcoming 2009 conferences such as BMVC 09. He has been guest editor of several special issues, including 'Multi-sensor object detection and tracking', Signal, Image and Video Processing (Springer). Dr Cavallaro was awarded the Royal Academy of Engineering teaching prize in 2007.

Foreword
About the authors
Preface
Acknowledgments
What is video tracking?
Introduction
The design of a video tracker
Problem formulation
Interactive vs. automated tracking
Summary
Applications
Introduction
Media production and augmented reality
Medical applications and biological research
Surveillance and business intelligence
Robotics and unmanned vehicles
Tele-collaboration and interactive gaming
Art installations and performances
Summary
Reference
Feature extraction
Introduction
From light to useful information
Low-level features
Mid-level features
High-level features
Summary
References
Target representation
Introduction
Shape representation
Appearance representation
Summary
References
Localisation
Introduction
Single-hypothesis methods
Multi-hypothesis methods
Summary
References
Fusion
Introduction
Fusion strategies
Feature fusion in a Particle Filter
Summary
References
Multi-target management
Introduction
Measurement validation
Data association
Random Finite Sets for tracking
Probabilistic Hypothesis Density filter
The Particle PHD filter
Summary
References
Context modeling
Introduction
Tracking with context modelling
Birth and clutter intensity estimation
Summary
References
Performance evaluation
Introduction
Analytical vs. empirical methods
Ground truth
Evaluation scores
Comparing trackers
Evaluation protocols
Datasets
Summary
References
Epilogue
Further Reading
Comparative results
Single vs. structural histogram
Experimental setup
Discussion
Localisation algorithms
Experimental setup
Discussion
Multi-feature fusion
Experimental setup
Reliability scores
Adaptive vs. non-adaptive tracker
Computational complexity
PHD filter
Experimental setup
Discussion
Failure modalities
Computational cost
Context modelling
Experimental setup
Discussion
References
Notation
Acronyms
Index
Table of Contents provided by Publisher. All Rights Reserved.

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Video Tracking Theory and Practice

Summary

Author Biography

Table of Contents

Supplemental Materials

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Video Tracking Theory and Practice

Summary

Author Biography

Table of Contents

Supplemental Materials

Digital License