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Multi-label convolutional neural network based pedestrian attribute classification

文献类型：期刊论文

作者Zhu, Jianqing1; Liao, Shengcai2; Lei, Zhen2; Li, Stan Z.2
刊名IMAGE AND VISION COMPUTING
出版日期2017-02-01
卷号58页码:224-229
关键词Pedestrian Attribute Classification Multi-label Classification Convolutional Neural Network
DOI10.1016/j.imavis.2016.07.004
文献子类Article
英文摘要Recently, pedestrian attributes like gender, age, clothing etc., have been used as soft biometric traits for recognizing people. Unlike existing methods that assume the independence of attributes during their prediction, we propose a multi-label convolutional neural network(MLCNN) to predict multiple attributes together in a unified framework. Firstly, a pedestrian image is roughly divided into multiple overlapping body parts, which are simultaneously integrated in the multi-label convolutional neural network. Secondly, these parts are filtered independently and aggregated in the cost layer. The cost function is a combination of multiple binary attribute classification cost functions. Experiments show that the proposed method significantly outperforms the SVM based method on the PETA database. (C) 2016 Elsevier B.V. All rights reserved.
WOS关键词SOFT BIOMETRICS
WOS研究方向Computer Science ; Engineering ; Optics
语种英语
WOS记录号WOS:000395844700021
资助机构Scientific Research Funds of Huaqiao University(16BS108) ; National Natural Science Foundation of China(61602191 ; Chinese Academy of Sciences Project(KGZD-EW-102-2) ; 61375037 ; 61473291 ; 61572501 ; 61502491 ; 61572536)
源URL[http://ir.ia.ac.cn/handle/173211/14433]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
作者单位1.Huaqiao Univ, Coll Engn, Quanzhou 362021, Fujian, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Jianqing,Liao, Shengcai,Lei, Zhen,et al. Multi-label convolutional neural network based pedestrian attribute classification[J]. IMAGE AND VISION COMPUTING,2017,58:224-229.
APA Zhu, Jianqing,Liao, Shengcai,Lei, Zhen,&Li, Stan Z..(2017).Multi-label convolutional neural network based pedestrian attribute classification.IMAGE AND VISION COMPUTING,58,224-229.
MLA Zhu, Jianqing,et al."Multi-label convolutional neural network based pedestrian attribute classification".IMAGE AND VISION COMPUTING 58(2017):224-229.

入库方式： OAI收割

来源：自动化研究所

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