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

By Hugo Pedro Proenca and Michele Nappi

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

• Format: Hardcover
• Language: English
• ISBN: 0081007051
• ISBN13: 9780081007051
• Release Date: January 2017
• Publisher: Academic Press
• Length: 248 Pages
• Weight: 4.49 lbs.
• Dimensions: 0.7" x 7.5" x 9.6"