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.
| Autor: | Wu, Ziyan |
|---|---|
| ISBN: | 9783319409900 |
| Sprache: | Englisch |
| Seitenzahl: | 104 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 15.09.2016 |
| Schlagworte: | computer vision feature extraction human re-identification image understanding machine learning metric learning object tracking pedestrian recognition representation learning video surveillance |
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