Human Recognition in Unconstrained Environments

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

248 Seiten, Hardcover

Kurzbeschreibung des Verlags

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

• Reihe: Academic Press
• ISBN: 9780081007051
• Sprache: Englisch
• Erscheinungsdatum: 27.01.2017
• Größe: 279 x 216 mm
• Verlag: Elsevier Inc
• Herausgegeben von: Michele Nappi, Hugo Pedro Proenca, Maria De Marsico