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

This book 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.

• 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