摘要
提出一种基于多分块三重损失计算的行人识别方法,来解决行人识别准确率不高的问题。与其他方法相比,本文设计了一种多分块三重损失计算的方式来对提取的特征进行反馈计算。具体来说,首先,三个行人图像输入到分割层当中,各自分为上中下三块,并在对应的网络当中进行特征提取;其次,在经过两层卷积层提取行人特征之后,每一个行人的上中下三块都有对应的三重损失计算,并根据损失值进行反馈调节;最后,将所有的行人图像进行融合,并继续在网络当中训练,通过分类器进行分类输出,在测试当中根据输出值判别行人对是否属于同一个行人。实验表明,文章提出的方法在公开库数据库当中与其他传统方法相比显著提高了行人识别准确率。
In this paper,a new method based on multi-block triple-loss calculation of person re-identification is proposed to solve the problem of low pedestrian recognition accuracy.Multi-block triple loss calculation is utilized to carry out feedback calculation of the extracted features.Firstly,three pedestrian images are taken as the input of the slice layer and divided into upper,middle and lower blocks,respectively.The features are extracted in the corresponding networks.Secondly,the upper,middle and lower parts of each pedestrian use the corresponding triple loss calculation,and feedback is adjusted according to the loss value after extracting the pedestrian features from the two convolution layers.Finally,all the pedestrian images are fused and trained in the network.The output is classified and the pedestrian pairs are judged to the same pedestrian according to the output values.Experiments show that the method proposed provides higher recognition accuracy than other traditional methods in the open databases.
作者
宋宗涛
陈岳林
蔡晓东
曾燕
SONG Zongtao;CHEN Yuelin;CAI Xiaodong;ZENG Yan(School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China;School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China)
出处
《电视技术》
北大核心
2017年第11期203-206,224,共5页
Video Engineering
基金
广西科技计划项目(广西重点研发计划)(桂科AB16380264)
国家科技支撑计划项目(2014BAK11B02)
物联网技术与产业化推进协同创新中心创新创业及人才培养项目-智慧安防及农业(WLW200601)
关键词
多分块
三重损失
深度网络
行人识别
multi-block
triple-loss
deep network
person re-identification
