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

Elsevier Science & Technology

Human Recognition in Unconstrained EnvironmentsUsing Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics\nAuthor(s): Maria De Marsico, Michele Nappi, Hugo Pedro Proena\nFormat: Hardback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Academic Press Inc.(London) Ltd\nISBN-13: 9780081007051, 978-0081007051\nSynopsis\nHuman 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:\nData 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 publa