Human Re-Identification
Format:Paperback
Publisher:Springer International Publishing AG
Published:22nd Apr '18
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783319822358
Dimensions: unknown
Weight: 1942g
104 pages
Softcover reprint of the original 1st ed. 2016