| 书目名称 | Human Re-Identification |
| 编辑 | Ziyan Wu |
| 视频video | http://file.papertrans.cn/430/429372/429372.mp4 |
| 概述 | Covers every aspect of an end-to-end real-world human re-identification system.Analyzes and summarizes factors of challenges, risks and uncertainties from practical computer vision applications.Extens |
| 丛书名称 | Multimedia Systems and Applications |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2016 |
| 关键词 | video surveillance; human re-identification; feature extraction; metric learning; pedestrian recognition |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-40991-7 |
| isbn_softcover | 978-3-319-82235-8 |
| isbn_ebook | 978-3-319-40991-7Series ISSN 1568-2358 Series E-ISSN 2945-5715 |
| issn_series | 1568-2358 |
| copyright | Springer International Publishing Switzerland 2016 |