Human Re-Identification

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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Ziyan Wu
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2018
• EAN: 9783319822358
• ISBN: 978-3-31-982235-8
• Pagine: 104
• Dimensioni: 155 mm x 6 mm x 235 mm
• Peso: 195 g
• Illustrazioni: XV, 104 p. 40 illus.
• Serie: Multimedia Systems and Applications; Multimedia Systems and Applications
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; B, Künstliche Intelligenz, Artificial Intelligence, Grafische und digitale Media-Anwendungen, Netzwerk-Hardware, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Multimedia Information Systems, Computer Communication Networks, Optical data processing, Graphical & digital media applications, Computer communication systems, Network hardware, image un-distortion, camera calibration, camera network