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Human Re-Identification
ISBN-13:
9783319409917
Veröffentl:
2016
Seiten:
104
Autor:
Ziyan Wu
Serie:
Multimedia Systems and Applications
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
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.
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