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 of computer vision, pattern
recognition and biometrics. The book will also be of great interest to
professional engineers of biometric systems.
