Person Re-identification: Past, Present and Future
Person Re-identification: Past, Present and Future
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发表时间：
2016-10
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通讯作者：
Liang Zheng;Yi Yang;Alexander Hauptmann
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作者：
Liang Zheng;Yi Yang;Alexander Hauptmann
由于其重要的应用和研究意义，身份再识别技术在社会上越来越受到重视。它的目的是在其他相机中发现感兴趣的人。在早期，手工制作的算法和小规模的评估主要是报告。近年来，出现了大规模数据集和深度学习系统，这些系统使用大量数据。考虑到不同的任务，我们将当前大多数re-ID方法分为两类，即，基于图像和基于视频;在这两项任务中，将审查手工制作和深度学习系统。此外，描述和讨论了两个更接近现实世界应用的新的re-ID任务，即，端到端的重新识别和快速重新识别在非常大的画廊。本文件：1）介绍了人重新识别的历史及其与图像分类和实例检索的关系; 2）调查了广泛的手工制作的系统和基于图像和视频的重新识别的大规模方法; 3）描述了端到端重新识别和大型画廊快速检索的关键未来方向; 4）最后简要介绍了一些重要但尚未开发的问题。
Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other cameras. In the early days, hand-crafted algorithms and small-scale evaluation were predominantly reported. Recent years have witnessed the emergence of large-scale datasets and deep learning systems which make use of large data volumes. Considering different tasks, we classify most current re-ID methods into two classes, i.e., image-based and video-based; in both tasks, hand-crafted and deep learning systems will be reviewed. Moreover, two new re-ID tasks which are much closer to real-world applications are described and discussed, i.e., end-to-end re-ID and fast re-ID in very large galleries. This paper: 1) introduces the history of person re-ID and its relationship with image classification and instance retrieval; 2) surveys a broad selection of the hand-crafted systems and the large-scale methods in both image- and video-based re-ID; 3) describes critical future directions in end-to-end re-ID and fast retrieval in large galleries; and 4) finally briefs some important yet under-developed issues.