Human Recognition in Unconstrained Environments

- Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

Forfatter: info mangler
Bog
  • Denne udgave
  • Bog, hardback
  • Engelsk

Beskrivelse

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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Detaljer
Størrelse og vægt
  • Vægt670 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,4 cm

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