
Human Re-Identification
Ziyan Wu(Author)
Springer (Publisher)
Published on 22. April 2018
Book
Paperback/Softback
XV, 104 pages
978-3-319-82235-8 (ISBN)
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
40 s/w Abbildungen
XV, 104 p. 40 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
1942 gr
ISBN-13
978-3-319-82235-8 (9783319822358)
DOI
10.1007/978-3-319-40991-7
Schweitzer Classification
Other editions
Additional editions

Content
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.