Human Recognition in Unconstrained Environments

[LeeAndro]

English | 2017 | ISBN: 0081007051 | 248 Pages | True PDF | 9.6 MB

Human Recognition in Unconstrained Environments : Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

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, sntation, 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- detection and data sntation
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- 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
Presents a complete picture of the biometric recognition processing chain, rag from data acquisition to the reaction procedures against security incidents
Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system
Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities



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