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Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Barnes and Noble
Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Current price: $145.00
Barnes and Noble
Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Current price: $145.00
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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
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