E-Book Overview
Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera.
This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data.
Topics and features:
- Discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation
- Evaluates the discriminating power of model-based gait features using Bayesian statistical analysis
- Examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences
- Describes approaches for the integration of face profile and gait biometrics, and for super-resolution of frontal and side-view face images
- Introduces an objective non-reference quality evaluation algorithm for super-resolved images
- Presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video
This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.
Dr. Bir Bhanu is Distinguished Professor of Electrical Engineering, and Director of the Center for Research in Intelligent Systems, at the University of California, Riverside, USA.
Dr. Ju Han is a Specialist at the Energy Biosciences Institute, a joint appointment with the Lawrence Berkeley National Laboratory and the University of California, Berkeley, USA.
E-Book Content
Advances in Pattern Recognition
For other titles published in this series, go to www.springer.com/series/4205
Bir Bhanu Ju Han
Human Recognition at a Distance in Video
Prof. Bir Bhanu Bourns College of Engineering University of California Riverside, CA 92521 USA
[email protected]
Dr. Ju Han Lawrence Berkeley National Laboratory University of California Cyclotron Road 1 Berkeley, CA 94720 USA
[email protected]
Series Editor Professor Sameer Singh, PhD Research School of Informatics Loughborough University Loughborough UK
ISSN 1617-7916 ISBN 978-0-85729-123-3 e-ISBN 978-0-85729-124-0 DOI 10.1007/978-0-85729-124-0 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library © Springer-Verlag London Limited 2011 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publi