Authors:
- Addresses the fundamental problems associated with gait and face-based human recognition from video data acquired from a distance
- Examines methods for human recognition using 3D gait biometrics, and for the super-resolution of facial imagery obtained at different angles
- Investigates integrated systems that detect and fuse both gait and face biometrics
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (12 chapters)
-
Front Matter
-
Introduction to Gait-Based Individual Recognition at a Distance
-
Front Matter
-
-
Gait-Based Individual Recognition at a Distance
-
Front Matter
-
-
Face Recognition at a Distance in Video
-
Front Matter
-
-
Integrated Face and Gait for Human Recognition at a Distance in Video
-
Front Matter
-
-
Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video
-
Front Matter
-
-
Back Matter
About this book
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 the 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 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 ofcomputer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.
Authors and Affiliations
-
Bourns College of Engineering, University of California, Riverside, Riverside, USA
Bir Bhanu
-
Lawrence Berkeley National Laboratory, University of California, Berkeley, USA
Ju Han
Bibliographic Information
Book Title: Human Recognition at a Distance in Video
Authors: Bir Bhanu, Ju Han
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-0-85729-124-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2010
Hardcover ISBN: 978-0-85729-123-3Published: 08 November 2010
Softcover ISBN: 978-1-4471-2604-1Published: 02 January 2013
eBook ISBN: 978-0-85729-124-0Published: 05 November 2010
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXV, 253
Topics: Artificial Intelligence, Image Processing and Computer Vision, Pattern Recognition, Computers and Society