Human Re-Identification (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Multimedia Systems and Applications
Release date:	September 2016
First published:	2016
Authors:	Ziyan Wu
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Hardcover
Pages:	104
Edition:	1st ed. 2016
ISBN-13:	978-3-319-40990-0
Categories:	Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-40990-5
Barcode:	9783319409900

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