國立虎尾科技大學 |

Human Re-Identification

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Human Re-Identification/ by Ziyan Wu.
Author:	Wu, Ziyan.
Description:	XV, 104 p. 40 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Optical data processing. -
Online resource:	https://doi.org/10.1007/978-3-319-40991-7
ISBN:	9783319409917

Human Re-Identification
Wu, Ziyan.

Human Re-Identification[electronic resource] /by Ziyan Wu. - 1st ed. 2016. - XV, 104 p. 40 illus.online resource. - Multimedia Systems and Applications. - Multimedia Systems and Applications.

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.

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.

ISBN: 9783319409917

Standard No.: 10.1007/978-3-319-40991-7doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Human Re-Identification
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