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