Human Recognition in Unconstrained Environments - Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics (Hardcover)

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

General

Imprint:	Academic Press Inc.(London) Ltd
Country of origin:	United Kingdom
Release date:	2017
First published:	2017
Editors:	Maria De Marsico • Michele Nappi • Hugo Pedro Proenca
Dimensions:	235 x 191 x 19mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	248
ISBN-13:	978-0-08-100705-1
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	0-08-100705-1
Barcode:	9780081007051

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