Human Recognition at a Distance in Video

  • Bir Bhanu
  • Ju Han

Part of the Advances in Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Introduction to Gait-Based Individual Recognition at a Distance

    1. Front Matter
      Pages 1-1
    2. Bir Bhanu, Ju Han
      Pages 3-9
  3. Gait-Based Individual Recognition at a Distance

    1. Front Matter
      Pages 11-11
    2. Bir Bhanu, Ju Han
      Pages 13-24
    3. Bir Bhanu, Ju Han
      Pages 65-94
  4. Face Recognition at a Distance in Video

    1. Front Matter
      Pages 115-115
    2. Bir Bhanu, Ju Han
      Pages 149-164
  5. Integrated Face and Gait for Human Recognition at a Distance in Video

    1. Front Matter
      Pages 165-165
    2. Bir Bhanu, Ju Han
      Pages 167-184
  6. Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video

    1. Front Matter
      Pages 233-233
    2. Bir Bhanu, Ju Han
      Pages 235-239
  7. Back Matter
    Pages 241-253

About this book

Introduction

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 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 of 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.

Dr. Bir Bhanu is Distinguished Professor of Electrical Engineering, and Director of the Center for Research in Intelligent Systems, at the University of California, Riverside, USA.

Dr. Ju Han is a Specialist at the Energy Biosciences Institute, a joint appointment with the Lawrence Berkeley National Laboratory and the University of California, Berkeley, USA.

Keywords

Biometrics Camera Networks Face Recognition Gait Recognition Human Recognition Monitoring Security Surveillance Video-based Recognition cognition pattern recognition

Authors and affiliations

  • Bir Bhanu
    • 1
  • Ju Han
    • 2
  1. 1.Bourns College of EngineeringUniversity of California, RiversideRiversideUSA
  2. 2.Lawrence Berkeley National LaboratoryUniversity of CaliforniaBerkeleyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-124-0
  • Copyright Information Springer-Verlag London Limited 2010
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-0-85729-123-3
  • Online ISBN 978-0-85729-124-0
  • Series Print ISSN 2191-6586
  • About this book