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.
Produkteigenschaften
- Artikelnummer: 9783319822358
- Medium: Buch
- ISBN: 978-3-319-82235-8
- Verlag: Springer
- Erscheinungstermin: 22.04.2018
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2016
- Serie: Multimedia Systems and Applications
- Produktform: Kartoniert, Previously published in hardcover
- Gewicht: 1942 g
- Seiten: 104
- Format (B x H): 155 x 235 mm
- Ausgabetyp: Kein, Unbekannt