Human Re-Identification
| Autor: | Ziyan Wu |
|---|---|
| EAN: | 9783319409917 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 08.09.2016 |
| Kategorie: | |
| Schlagworte: | camera calibration camera network computer vision feature extraction human re-identification image un-d image understanding machine learning metric learning object tracking pedestrian recognition representation learning video surveillance |
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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.