Person Re-Identification

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Application Software, Computer Graphics, General Computing
Cover of the book Person Re-Identification by , Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781447162964
Publisher: Springer London Publication: January 3, 2014
Imprint: Springer Language: English
Author:
ISBN: 9781447162964
Publisher: Springer London
Publication: January 3, 2014
Imprint: Springer
Language: English

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

More books from Springer London

Cover of the book Translational Vascular Medicine by
Cover of the book Ophthalmic Histopathology by
Cover of the book Digital Signal Processing in Power System Protection and Control by
Cover of the book Secure Information Management Using Linguistic Threshold Approach by
Cover of the book Success in Academic Surgery: Basic Science by
Cover of the book Managing Cooperation in Supply Network Structures and Small or Medium-sized Enterprises by
Cover of the book Lee's Ophthalmic Histopathology by
Cover of the book Atlas of Minimally Invasive Surgery in Esophageal Carcinoma by
Cover of the book Robust Control Design with MATLAB® by
Cover of the book Syzygies and Homotopy Theory by
Cover of the book Warming to Ecocide by
Cover of the book Surgical Emergencies in Clinical Practice by
Cover of the book Patient Safety in Surgery by
Cover of the book Vector Control of Induction Machines by
Cover of the book Cellular and Molecular Biology of Atherosclerosis by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy