Human Recognition at a Distance in Video
著者
書誌事項
Human Recognition at a Distance in Video
(Advances in pattern recognition)
Springer, c2011
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
内容説明・目次
内容説明
Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera.
This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where the both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data.
Topics and features: discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation; evaluates the discriminating power of model-based gait features using Bayesian statistical analysis; examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences; describes approaches for the integration face profile and gait biometrics, and for super-resolution of frontal and side-view face images; introduces an objective non-reference quality evaluation algorithm for super-resolved images; presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video.
This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.
目次
Part I: Introduction to Gait-based Individual Recognition at a Distance
Introduction
Part II: Gait-based Individual Recognition at a Distance Gait Representations in Video
Model-free Gait-based Human Recognition in Video
Discrimination Analysis for Model-based Gait Recognition
Model-based Human Recognition: 2D and 3D Gait
Fusion of Color/Infrared Video for Human Detection
Part III: Face Recognition at a Distance in Video
Super-resolution of Facial Images in Video at a Distance
Evaluating Quality of Super-resolved Face Images
Part IV: Integrated Face and Gait for Human Recognition at a Distance in Video
Integrating Face Profile and Gait at a Distance
Match Score Level Fusion of Face and Gait at a Distance
Feature Level Fusion of Face and Gait at a Distance
Part V: Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video
Conclusions and Future Work
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