Human Recognition in Unconstrained Environments

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

- 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