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Human Re-Identification

  • Ziyan Wu

Part of the Multimedia Systems and Applications book series (MMSA)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Video Surveillance and Human Re-identification

    1. Front Matter
      Pages 1-1
    2. Ziyan Wu
      Pages 13-21
    3. Ziyan Wu
      Pages 23-26
  3. Camera Network and Infrastructures Planning

    1. Front Matter
      Pages 27-27
  4. Core Analytic for Human Re-Identification

  5. Back Matter
    Pages 103-104

About this book

Introduction

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.
This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.

Keywords

video surveillance human re-identification feature extraction metric learning pedestrian recognition machine learning computer vision image understanding object tracking representation learning camera network camera calibration image un-distortion pattern recognition

Authors and affiliations

  • Ziyan Wu
    • 1
  1. 1.Siemens Corporate ResearchPlainsboroUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-40991-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-40990-0
  • Online ISBN 978-3-319-40991-7
  • Buy this book on publisher's site
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