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Human Re-Identification

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Human Re-Identification Synopsis

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.

About This Edition

ISBN: 9783319409900
Publication date:
Author: Ziyan Wu
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 104 pages
Series: Multimedia Systems and Applications Series
Genres: Computer vision
Network hardware
Artificial intelligence
Graphical and digital media applications

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