Human Recognition In Unconstrained Environments Using Computer Vision Pattern Recognition And Machine Learning Methods For Biometrics Maria De Marsico by Maria De Marsico, Michele Nappi, Hugo Pedro Proença 9780081007051, 0081007051 instant download after payment.

Human Recognition in Unconstrained Environmentsprovides 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