Human Re-Identification

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Éditeur :

Springer


Collection :

Multimedia Systems and Applications

Paru le : 2016-09-08

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Description

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.

Pages
104 pages
Collection
Multimedia Systems and Applications
Parution
2016-09-08
Marque
Springer
EAN papier
9783319409900
EAN PDF
9783319409917

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
4936 Ko
Prix
94,94 €
EAN EPUB
9783319409917

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3799 Ko
Prix
94,94 €