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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wu, Ziyan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Multimedia Systems and Applications,
Temas:
Computer vision.
Artificial intelligence.
Multimedia systems.
Computer networks .
Computer Vision.
Artificial Intelligence.
Multimedia Information Systems.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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