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.

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