Human Recognition at a Distance in Video (Advances in Computer Vision and Pattern Recognition) [Hardcover]

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Most biometric systems used by human recognition require physical contact with, or closeness to, a cooperative subject. Far more challenging is the power to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the 2 biometrics that might be most easily captured from your distance using a video camera.

This comprehensive and logically organized text/reference addresses the fundamental problems related to gait and face-based human recognition, from color and infrared video data which can be acquired from a distance. It examines both model-free and model-based ways to gait-based human recognition, including newly developed techniques where both the model along with the data (obtained from multiple cameras) have been in 3D. In addition, the task considers new video-based techniques for face profile recognition, and for that super-resolution of facial imagery obtained at different angles. Finally, the ebook 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 according to Gait Energy Image, a spatio-temporal gait representation
Evaluates the discriminating power of model-based gait features using Bayesian statistical analysis
Examines means of human recognition using 3D gait biometrics, and then for moving-human detection using both color and thermal image sequences
Describes approaches for that integration of face profile and gait biometrics, and then for super-resolution of frontal and side-view face images
Introduces a target non-reference quality evaluation algorithm for super-resolved images
Presents performance comparisons between different biometrics and various fusion options for integrating gait and super-resolved face from video
This unique and authoritative text is definitely an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book may also constitute great interest to professional engineers of biometric systems.

Dr. Bir Bhanu is Distinguished Professor of Electrical Engineering, and Director from the Center for Research in Intelligent Systems, with the University of California, Riverside, USA.

Dr. Ju Han can be a Specialist at the Energy Biosciences Institute, a joint appointment while using Lawrence Berkeley National Laboratory and also the University of California, Berkeley, USA.