Simultaneous image matching for person re‐identification via the stable marriage algorithm
Simultaneous image matching for person re‐identification via the stable marriage algorithm
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DOI：
10.1002/tee.23133
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发表时间：
2020-04
影响因子：
1
通讯作者：
N. M. Z. Hashim;Yasutomo Kawanishi;Daisuke Deguchi;I. Ide;H. Murase
中科院分区：
文献类型：
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作者：
N. M. Z. Hashim;Yasutomo Kawanishi;Daisuke Deguchi;I. Ide;H. Murase
近年来，由于其对公共安全的重要性，跨非重叠摄像机视图的多人跟踪在视频监控领域越来越受到关注。大多数现有的方法找到一个对应的人的图像分别在每对相邻的两个相机。然而，在这种朴素的方法中，经常发生冗余匹配，其中多次选择人物图像之一用于匹配对。导致跟踪失败。为了克服这个问题，本文将匹配问题看作经济学中著名的“婚姻问题”的一个实例，提出了一种基于稳定婚姻算法的多人同时图像匹配方法。我们证实，在几个众所周知的公共数据集上，所提出的方法优于一些现有的最先进方法。© 2020日本电气工程师协会。由John Wiley & Sons公司出版
Recently, multiperson tracking across non‐overlapping camera views is gaining increasing attention in the video surveillance field due to its importance for public security. Most existing methods find a correspondence of person images individually across each pair of adjacent two cameras. However, in such a naive approach, redundant matching where one of the person images is selected for the matching pair for several times, often occurs. It leads to tracking failure. To overcome this problem, in this paper, by considering the matching problem as an instance of the “marriage problem” that is well known in Economics, we propose a simultaneous image matching method for multiple persons based on the stable marriage algorithm. We confirmed that the proposed method outperforms some of the existing state‐of‐the‐art methods on several well‐known public datasets. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.