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Book Cover
Author Wu, Ziyan, author

Title Human Re-Identification / by Ziyan Wu
Published Cham : Springer, 2016
Online access available from:
Springer eBooks    View Resource Record  


Description 1 online resource (xv, 104 pages, 40 illustrations)
Series Multimedia Systems and Applications
Kluwer international series in engineering and computer science. Multimedia systems and applications.
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
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
Bibliography Includes bibliographical references and index
Subject Computer vision.
Pattern recognition systems.
Computer networks.
Electronic surveillance.
Artificial intelligence.
Image processing.
Form Electronic book
ISBN 9783319409917