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Titlebook: Human Re-Identification; Ziyan Wu Book 2016 Springer International Publishing Switzerland 2016 video surveillance.human re-identification.

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發(fā)表于 2025-3-21 17:51:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Human Re-Identification
編輯Ziyan Wu
視頻videohttp://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
叢書名稱Multimedia Systems and Applications
圖書封面Titlebook: Human Re-Identification;  Ziyan Wu Book 2016 Springer International Publishing Switzerland 2016 video surveillance.human re-identification.
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
關(guān)鍵詞video surveillance; human re-identification; feature extraction; metric learning; pedestrian recognition
版次1
doihttps://doi.org/10.1007/978-3-319-40991-7
isbn_softcover978-3-319-82235-8
isbn_ebook978-3-319-40991-7Series ISSN 1568-2358 Series E-ISSN 2945-5715
issn_series 1568-2358
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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發(fā)表于 2025-3-21 21:16:40 | 只看該作者
Learning Viewpoint Invariant Signatures and representations have been studied extensively for human re-identification, most of them only work under strong assumptions such as ignoring perspective distortion or difference in camera viewpoints. Although these representations show promising results on benchmark datasets, they are likely to fail in real-world scenarios.
板凳
發(fā)表于 2025-3-22 01:34:08 | 只看該作者
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發(fā)表于 2025-3-22 06:18:45 | 只看該作者
Book 2016 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 detaile
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發(fā)表于 2025-3-22 09:46:50 | 只看該作者
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發(fā)表于 2025-3-22 15:58:40 | 只看該作者
Book 2016decision/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..
7#
發(fā)表于 2025-3-22 18:14:38 | 只看該作者
https://doi.org/10.1007/978-3-319-40991-7video surveillance; human re-identification; feature extraction; metric learning; pedestrian recognition
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發(fā)表于 2025-3-22 21:42:27 | 只看該作者
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發(fā)表于 2025-3-23 03:21:11 | 只看該作者
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發(fā)表于 2025-3-23 06:23:45 | 只看該作者
The Problem of Human Re-Identificationotions, and accurate perceptions, just like those of humans. One major step toward that is to enable computers to sense like a human being. In particular, computer vision is the set of technologies that can make computers to see.
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