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

Name: Human Recognition in Unconstrained Environments : Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Brand: Elsevier Science & Technology

Elsevier Science & Technology

Human Recognition in Unconstrained Environments\n\nUsing Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics\n\nLearn to use computer vision, pattern recognition, and machine learning methods for biometrics in this discussion of the biometric recognition processing chain\n\nMaria De Marsico (Edited by), Michele Nappi (Edited by), Hugo Pedro Proen\u00E7a (Edited by)\n\n9780081007051, Elsevier Science\n\nHardback, published 13 January 2017\n\n248 pages\n23.5 x 19 x 2.1 cm, 0.67 kg\n\nHuman Recognition in Unconstrained Environments provides a unique picture of the complete \u2018in-the-wild\u2019 biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.\nCoverage includes:\n \n--Data hardware architecture fundamentals \n--Background subtraction of humans in outdoor scenes\n--Camera synchronization \n--Biometric traits: Real-time detection and data segmentatio]