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

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

Edited by Maria de Marsico, Michele Nappi, Hugo Proenca

Description

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 fundamentalsBackground subtraction of humans in outdoor scenes Camera synchronizationBiometric traits: Real-time detection and data segmentationBiometric traits: Feature encoding / matching Fusion at different levelsReaction against security incidentsEthical 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 securityChoose the most suited biometric traits and recognition methods for uncontrolled settingsEvaluate the performance of a biometric system on real world data

Information

  • Format: Hardback
  • Pages: 248 pages
  • Publisher: Elsevier Science & Technology
  • Publication Date:
  • Category: Pattern recognition
  • ISBN: 9780081007051

£100.00

£91.49

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops