Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
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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 ...























