Book 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
- 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:
- Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents
- Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system
- Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Editor Biographies
- Foreword
- Chapter 1: Unconstrained Data Acquisition Frameworks and Protocols
- Chapter 2: Face Recognition Using an Outdoor Camera Network
- Chapter 3: Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics “in-the-Wild”
- Chapter 4: A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition
- Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images
- Chapter 6: Fingerphoto Authentication Using Smartphone Camera Captured Under Varying Environmental Conditions
- Chapter 7: Soft Biometric Attributes in the Wild: Case Study on Gender Classification
- Chapter 8: Gait Recognition: The Wearable Solution
- Chapter 9: Biometric Authentication to Access Controlled Areas Through Eye Tracking
- Chapter 10: Noncooperative Biometrics: Cross-Jurisdictional Concerns
- Index
Product information
- Title: Human Recognition in Unconstrained Environments
- Author(s):
- Release date: January 2017
- Publisher(s): Academic Press
- ISBN: 9780081007129
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