Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods, (Hardcover)
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Key item features
- Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods, (Hardcover)
- Author: Academic Press
- ISBN: 9780081007051
- Format: Hardcover
- Publication Date: 2017-01-13
- Page Count: 248
Specs
- Book formatHardcover
- Fiction/nonfictionNon-Fiction
- GenreComputing & Internet
- Pub date2017-01-13
- Pages248
- Reading levelProfessional and Scholarly
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Starting from $169.90
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Product details
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:
- Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods, (Hardcover)
- Author: Academic Press
- ISBN: 9780081007051
- Format: Hardcover
- Publication Date: 2017-01-13
- Page Count: 248
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Specifications
Book format
Hardcover
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Pub date
2017-01-13
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