基于支持样本间接式的行人再识别

孙锐; 方蔚; 黄启恒; 高隽

doi:10.11999/JEIT170215

基于支持样本间接式的行人再识别

doi: 10.11999/JEIT170215

基金项目:

国家自然科学基金(61471154)，安徽省科技攻关科技强警项目(170d0802181)

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- 文章访问数: 978
- HTML全文浏览量: 142
- PDF下载量: 282
- 被引次数: 0
出版历程
- 收稿日期: 2017-03-17
- 修回日期: 2017-09-15
- 刊出日期: 2017-12-19

Indirect Person Re-identification Based on Support Samples

Funds:

The National Natural Science Foundation of China (61471154), Anhui Province Science and Technology Research (170d0802181)

摘要

摘要: 行人再识别就是在无重叠视域多摄像机监控系统中，识别出相同的行人。针对来自于不同摄像头行人图片存在着视角、光照和尺度变化的问题。该文提出了基于支持样本间接式匹配的行人再识别方法。该算法首先通过聚类的方法分别提取不同摄像头下的支持样本，当要对来自不同摄像头的行人进行匹配时，在距离测度的基础上利用支持样本分别判别出其所在摄像头下的行人类别，通过类别的对比判断是否为同一行人。该方法避免了不同摄像头下行人图片直接匹配，有效解决不同摄像头带来的视角、光照和尺度问题。实验结果表明该文的算法相比一些经典算法识别率有一定的提高，并且在数据集VIPeR, CAVIAR4ReID和CUHK01上，Rank1分别达到了43.60%, 41.36%, 43.82%。
- 行人再识别 /
- 支持样本 /
- 间接匹配
Abstract: Person re-identification is the identification of the same pedestrian in a multi camera surveillance without overlapping views. Aiming at the problem of the existence of visual angle, illumination and scale change in pedestrian images which from different camera. An indirect person re-identification method is proposed based on the support samples. At first, the algorithm extracts the support samples from different cameras by the clustering method. When it comes to matching pedestrians from different cameras, the support samples are used to distinguish the pedestrians categories under the camera on the basis of the distance metric, by comparing the categories to determine whether the same pedestrian. The method avoids the direct matching of pedestrian images under different cameras, which effectively solve the problem of the existence of visual angle, illumination and scale change in different camera. The experimental results show that the algorithm has a high recognition rate, and on the data set VIPeR, CAVIAR4ReID and CUHK01the, Rank1 reaches 43.60%, 41.36% and 43.82% respectively.
- Person re-identification /
- Support samples /
- Indirect matching

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参考文献(31)

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