Pedestrian attribute classification with multi-scale and multi-label convolutional neural networksOA

作者：Zhu Jianqing;Zeng Huanqiang;Zhang Yuzhao;Zheng Lixin;Cai Canhui

作者单位：Fujian Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, College of Engineering,Huaqiao University,Quanzhou 362021,P.R.ChinaSchool of Information Science and Engineering,Huaqiao University,Xiamen 361021,P.R.ChinaFujian Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, College of Engineering,Huaqiao University,Quanzhou 362021,P.R.ChinaFujian Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, College of Engineering,Huaqiao University,Quanzhou 362021,P.R.ChinaFujian Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, College of Engineering,Huaqiao University,Quanzhou 362021,P.R.China

中文关键词：pedestrian attribute classificationmulti-scale featuresmulti-label classificationconvolutional neural network(CNN)

英文关键词：pedestrian attribute classificationmulti-scale featuresmulti-label classificationconvolutional neural network(CNN)

刊名：《高技术通讯（英文版）》 2018 (1)

相关项目：面向智能视频监控的行人再辨识方法研究

页码/页数：53-61,9

基金：Supported by the National Natural Science Foundation of China(No.61602191, 61672521, 61375037, 61473291, 61572501, 61572536, 61502491,61372107, 61401167), the Natural Science Foundation of Fujian Province(No.2016J01308), the Scientific and Technology Funds of Quanzhou(No.2015Z114), the Scientific and Technology Funds of Xiamen(No.3502Z20173045), the Promotion Program for Young and Middle aged Teacher in Science and Technology Research of Huaqiao University(No.ZQN-PY418,ZQN-YX403)and the Scientif-ic Research Funds of Huaqiao University(No.16BS108)

DOI：10.3772/j.issn.1006-6748.2018.01.007