Human Re-Identification

By Ziyan Wu

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319822357
• ISBN13: 9783319822358
• Release Date: April 2018
• Publisher: Springer
• Length: 104 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"