光学学报, 2019, 39 (6): 0615007, 网络出版: 2019-06-17   

基于视角信息嵌入的行人重识别 下载: 1260次

Person Re-Identification Based on View Information Embedding
作者单位
哈尔滨工程大学信息与通信工程学院, 黑龙江 哈尔滨 150001
摘要
提出一种基于视角信息嵌入的行人重识别模型。结合行人图像视角朝向特点,对PSE (pose-sensitive embedding)网络结构进行了优化。首先将PSE特征向量融合部分由特征的融合改成更符合不同视角特征空间性质的三个视角单元特征向量的拼接;其次视角单元从骨架网络更浅层的blocks-3进行分离,增加三个视角单元特征空间的差异性;最后利用改进的深度可分离卷积,设计了一个深度可分离模块,对视角单元进一步进行提取特征,防止模型参数过大的同时提高网络非线性能力,从而提高网络的泛化能力。利用Market1501、Duke-MTMC-reID和MARS数据集对所提的算法进行有效性验证实验,结果表明所提的改进方法取得了更好的识别效果。
Abstract
In this study, we propose a person re-identification model based on view information embedding. In particular, a pose-sensitive embedding (PSE) network structure is optimized based on the perspective towards characteristics of pedestrian images. First, the fusion part of the PSE feature vector is changed from feature fusion into the concatenation of the feature vectors of three view units, which is considerably reasonable for utilizing different view feature spaces. Second, the view units are separated from the shallow blocks-3 of the skeleton network, which improves the difference of the view feature space. Finally, we design a depthwise separable module based on the improved depth separable convolution to extract features of perspective units, preventing the model parameters from being considerably large and improving the network nonlinearity. The results of the validation experiments conducted using the Market1501, Duke-MTMC-reID and MARS datasets demonstrate that the proposed method can achieve a better recognition accuracy when compared with several advanced algorithms.

毕晓君, 汪灏. 基于视角信息嵌入的行人重识别[J]. 光学学报, 2019, 39(6): 0615007. Xiaojun Bi, Hao Wang. Person Re-Identification Based on View Information Embedding[J]. Acta Optica Sinica, 2019, 39(6): 0615007.

本文已被 7 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!