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Human recognition at a distance in video

Author: Bir Bhanu; Ju Han
Publisher: London : Springer, ©2011.
Series: Advances in pattern recognition.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Bhanu, Bir. .
Human recognition at a distance in vid.
London : Springer, 2011
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Bir Bhanu; Ju Han
ISBN: 9780857291240 0857291246
OCLC Number: 695386939
Description: 1 online resource (xxv, 253 pages) : illustrations.
Contents: Introduction to Gait-based Individual Recognition at a Distance --
Part 2. Gait-based Individual Recognition at a Distance --
Gait Representations in Video --
Model-Free Gait-Based Human Recognition in Video --
Discrimination Analysis for Model-Based Gait Recognition --
Model-Based Human Recognition, 2D and 3D Gait --
Fusion of Color/Infrared Video for Human Detection --
Part 3. Face Recognition at a Distance in Video --
Super-Resolution of Facial Images in Video at a Distance --
Evaluating Quality of Super-Resolved Face Images --
Part 4. Integrated Face and Gait for Human Recognition at a Distance in Video --
Integrating Face Profile and Gait at a Distance --
Match Score Level Fusion of Face and Gait at a Distance --
Feature Level Fusion of Face and Gait at a Distance --
Part 5. Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video.
Series Title: Advances in pattern recognition.
Responsibility: Bir Bhanu, Ju Han.

Abstract:

This comprehensive reference addresses the fundamental problems associated with gait and face-based human recognition, using color and infrared video data acquired from a distance. Both model-free  Read more...

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