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{ "item_title" : "Human Recognition in Unconstrained Environments", "item_author" : [" Maria de Marsico", "Michele Nappi", "Hugo Pedro Proença "], "item_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 fundamentalsBackground subtraction of humans in outdoor scenesCamera synchronizationBiometric traits: Real-time detection and data segmentationBiometric traits: Feature encoding / matchingFusion at different levelsReaction against security incidentsEthical issues in non-cooperative biometric recognition in public spacesWith 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 securityChoose the most suited biometric traits and recognition methods for uncontrolled settingsEvaluate the performance of a biometric system on real world data", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/08/100/705/0081007051_b.jpg", "price_data" : { "retail_price" : "145.00", "online_price" : "145.00", "our_price" : "145.00", "club_price" : "145.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Human Recognition in Unconstrained Environments|Maria de Marsico

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

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Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9780081007051
  • ISBN-10: 0081007051
  • Publisher: Academic Press
  • Publish Date: January 2017
  • Dimensions: 9.6 x 7.5 x 0.7 inches
  • Shipping Weight: 4.49 pounds
  • Page Count: 248

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