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

Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics Maria De Marsico, Michele Nappi, Hugo Pedro Proença
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 fundamentalsBackground subtraction of humans in outdoor scenes Camera synchronizationBiometric traits: Real-time detection and data segmentationBiometric traits: Feature encoding / matching Fusion at different levelsReaction against security incidentsEthical issues in non-cooperative biometric recognition in public spacesWith 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 securityChoose the most suited biometric traits and recognition methods for uncontrolled settingsEvaluate the performance of a biometric system on real world data Categories:
Computers – Cybernetics
Year:
2017
Publisher:
Academic Press
Language:
english
Pages:
249 / 250
ISBN 10:
0081007051
ISBN 13:
9780081007051
File:
57 MB