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Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Contributor(s): de Marsico, Maria (Editor), Nappi, Michele (Editor), Proença, Hugo Pedro (Editor)

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 ISBN: 0081007051     ISBN-13: 9780081007051
Publisher: Academic Press
OUR PRICE: $152.25  

Binding Type: Hardcover
Published: January 2017
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Electronics - Digital
- Computers | Image Processing
- Computers | Computer Vision & Pattern Recognition
LCCN: 2016960812
Physical Information: 0.7" H x 7.5" W x 9.6" L (4.49 lbs) 248 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher 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 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
 
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