首页|基于HRNet的遮挡行人重识别算法改进

基于HRNet的遮挡行人重识别算法改进

扫码查看
遮挡的人物再识别ReID是一项人物检索任务,旨在将遮挡的人物图像与完整的图像进行匹配.为了解决遮挡的再识别问题,基于部分的方法已经被证明是有效的,因为它们提供了细粒度的信息,并且很适合表示部分可见的人体.提出一种基于HRNet的遮挡行人重识别算法,采用ODConv增加对输入数据的适应性,并添加了注意力机制以增强特征表示.
Improved occluded person re-identification algorithm based on HRNet
Occluded person re-identification ReID is a person retrieval task that aims to match occluded person images with complete images.To address the challenge of occluded re-identification,part-based methods have been proven beneficial as they provide fine-grained information and are suitable for representing partially visible human body parts.In this paper,we propose an occluded person re-identification algorithm based on HRNet.We utilize ODConv to enhance adaptability to input data and incorpo-rate attention mechanisms to enhance feature representation.

occludedperson re-identificationattention mechanismsHRNet

彭晓聪、周卫、段卓

展开 >

广西民族大学电子信息学院,南宁 530006

遮挡 行人重识别 注意力机制 HRNet

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(24)