Human Re-Identification / by Ziyan Wu

By:

Wu, Ziyan [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Multimedia Systems and Applications | SpringerLink Bücher | Springer eBook Collection Computer SciencePublisher: Cham : Springer, 2016Description: Online-Ressource (XV, 104 p. 40 illus, online resource)ISBN:

9783319409917

Subject(s):

Additional physical formats: 9783319409900 | Erscheint auch als: 978-3-319-40990-0 Druck-Ausgabe | Printed edition: 9783319409900 DDC classification:

006.6
006.37

LOC classification:

TA1637-1638 TA1634
TA1637-1638
TA1634

DOI: DOI: 10.1007/978-3-319-40991-7Online resources:

Summary: 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 valuableSummary: 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 WorkPPN: PPN: 1658910540Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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