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Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Hardcover
Technology & EngineeringGeneral Computers
ISBN13: 9780081007051
Publisher: Academic Press
Published: Jan 13 2017
Pages: 248
Weight: 4.49
Height: 0.70 Width: 7.50 Depth: 9.60
Language: English
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
- 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
With this book readers will learn how to:
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