Human Re-Identification

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.

List of contents

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.

Summary

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.

Product details

• Authors: Ziyan Wu
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2016
• EAN: 9783319409900
• ISBN: 978-3-31-940990-0
• No. of pages: 104
• Dimensions: 167 mm x 13 mm x 245 mm
• Weight: 297 g
• Illustrations: XV, 104 p. 40 illus.
• Series: Multimedia Systems and Applications; Multimedia Systems and Applications
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; B, Künstliche Intelligenz, Artificial Intelligence, Grafische und digitale Media-Anwendungen, Netzwerk-Hardware, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Multimedia Information Systems, Computer Communication Networks, Optical data processing, Graphical & digital media applications, Computer communication systems, Network hardware, image un-distortion, camera calibration