| 书目名称 | Human Re-Identification | | 编辑 | Ziyan Wu | | 视频video | | | 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 |
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发表于 2025-3-21 17:51:05
