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Human Re-Identification / by Ziyan Wu.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Wu, Ziyan, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Multimedia Systems and Applications.
Multimedia Systems and Applications
Language:
English
Subjects (All):
Optical data processing.
Artificial intelligence.
Multimedia systems.
Computer networks.
Image Processing and Computer Vision.
Artificial Intelligence.
Multimedia Information Systems.
Computer Communication Networks.
Local Subjects:
Image Processing and Computer Vision.
Artificial Intelligence.
Multimedia Information Systems.
Computer Communication Networks.
Physical Description:
1 online resource (XV, 104 pages) : 40 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-319-40991-7
9783319409917
Access Restriction:
Restricted for use by site license.

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