Human recognition in unconstrained environments : using computer vision, pattern recognition and machine learning methods for biometrics /
Saved in:
| Imprint: | London : Academic Press, an imprint of Elsevier, [2017] ©2017 |
|---|---|
| Description: | 1 online resource |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11361239 |
| Summary: | 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 |
|---|---|
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780081007129 0081007124 0081007051 9780081007051 |