Human Re-Identification (Paperback) (ISBN-13: 9783319822358)

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.


Author: Ziyan Wu
ISBN-10: 3319822357
ISBN-13: 9783319822358
Publisher: Springer
Language: English
Published: 04/22/2018
Pages: 104
Format: Paperback
Weight: 0.40lbs
Size: 9.21h x 6.14w x 0.26d