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 Essentials of Chinese Medicine by
Cover of the book International Operations Networks by
Cover of the book ECG Signal Processing, Classification and Interpretation by
Cover of the book Quasi-Dimensional Simulation of Spark Ignition Engines by
Cover of the book Data Mining by
Cover of the book Multimodal Usability by
Cover of the book Stereotactic Body Radiotherapy by
Cover of the book Astronomy with a Budget Telescope by
Cover of the book Sets, Logic and Maths for Computing by
Cover of the book Exploring Digital Design by
Cover of the book Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by
Cover of the book Essentials of Autopsy Practice by
Cover of the book Trends in Interactive Visualization by
Cover of the book Software Similarity and Classification by
Cover of the book Music and Human-Computer Interaction 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