Human Re-Identification / Multimedia Systems and Applications (PDF)
(Sprache: Englisch)
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...
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Produktinformationen zu „Human Re-Identification / Multimedia Systems and Applications (PDF)“
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.
Bibliographische Angaben
- Autor: Ziyan Wu
- 2016, 1st ed. 2016, 104 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319409913
- ISBN-13: 9783319409917
- Erscheinungsdatum: 08.09.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 4.82 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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