Human Re-Identification

Ziyan Wu (Autor)

Buch | Softcover

XV, 104 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-82235-8 (ISBN)

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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.

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.

Erscheinungsdatum	20.07.2018
Reihe/Serie	Multimedia Systems and Applications
Zusatzinfo	XV, 104 p. 40 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1942 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	camera calibration • camera network • computer vision • feature extraction • human re-identification • Image understanding • image un-distortion • machine learning • metric learning • object tracking • pattern recognition • pedestrian recognition • representation learning • video surveillance
ISBN-10	3-319-82235-7 / 3319822357
ISBN-13	978-3-319-82235-8 / 9783319822358
Zustand	Neuware