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Human Re-Identification

โœ Scribed by Ziyan Wu (auth.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
107
Series
Multimedia Systems and Applications
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter....Pages i-xv
Front Matter....Pages 1-1
The Problem of Human Re-Identification....Pages 3-11
Features and Signatures....Pages 13-21
Multi-object Tracking....Pages 23-26
Front Matter....Pages 27-27
Surveillance Camera and Its Calibration....Pages 29-39
Calibrating a Surveillance Camera Network....Pages 41-53
Front Matter....Pages 55-55
Learning Viewpoint Invariant Signatures....Pages 57-75
Learning Subject-Discriminative Features....Pages 77-83
Dimension Reduction with Random Projections....Pages 85-92
Sample Selection for Multi-shot Human Re-identification....Pages 93-97
Conclusions and Future Work....Pages 99-101
Back Matter....Pages 103-104

โœฆ Subjects


Image Processing and Computer Vision;Artificial Intelligence (incl. Robotics);Multimedia Information Systems;Computer Communication Networks


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