Human Recognition in Unconstrained Environments

Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

Michele Nappi editor Maria De Marsico editor Hugo Pedro Proença editor

Format:Hardback

Publisher:Elsevier Science & Technology

Published:13th Jan '17

Currently unavailable, and unfortunately no date known when it will be back

Human Recognition in Unconstrained Environments cover

Learn to use computer vision, pattern recognition, and machine learning methods for biometrics in this discussion of the biometric recognition processing chain

Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data

ISBN: 9780081007051

Dimensions: unknown

Weight: 670g

248 pages