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Human Re-Identification

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 buildin...

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Main Author: Wu, Ziyan. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Multimedia Systems and Applications
Subjects:
Optical data processing.
Artificial intelligence.
Multimedia information systems.
Computer communication systems.
Image Processing and Computer Vision.
Artificial Intelligence.
Multimedia Information Systems.
Computer Communication Networks.
Online Access:https://doi.org/10.1007/978-3-319-40991-7
Table of Contents:
  • The Problem of Human re-identification
  • Features and Signatures
  • Multi-Object Tracking
  • Surveillance Camera and its Calibration
  • Calibrating a Surveillance Camera Network
  • Learning Viewpoint Invariant Signatures
  • Learning Subject-Discriminative Features
  • Dimension Reduction with Random Projections
  • Sample Selection for Multi-shot Human Reidentification
  • Conclusions and Future Work.

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