Human re-identification / Ziyan Wu.

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Human re-identification / Ziyan Wu.

9783319409917 (electronic book)
3319409913 (electronic book)
9783319409900
3319409905

Cham, Switzerland : Springer, 2016.

English

1 online resource (xv, 104 pages) : illustrations.

10.1007/978-3-319-40991-7 doi

TA1634

006.3/7

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.

Includes bibliographical references and index.

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Description based on print version record.

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