Human Recognition in Unconstrained Environments
Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Michele Nappi editor Maria De Marsico editor Hugo Pedro Proença editor
Format:Hardback
Publisher:Elsevier Science & Technology
Published:13th Jan '17
Currently unavailable, and unfortunately no date known when it will be back
Learn to use computer vision, pattern recognition, and machine learning methods for biometrics in this discussion of the biometric recognition processing chain
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
ISBN: 9780081007051
Dimensions: unknown
Weight: 670g
248 pages