Multi-label convolutional neural network based pedestrian attribute classification
Zhu, Jianqing1; Liao, Shengcai2; Lei, Zhen2; Li, Stan Z.2
2017-02-01
发表期刊IMAGE AND VISION COMPUTING
卷号58页码:224-229
文章类型Article
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.
关键词Pedestrian Attribute Classification Multi-label Classification Convolutional Neural Network
WOS标题词Science & Technology ; Technology ; Physical Sciences
DOI10.1016/j.imavis.2016.07.004
关键词[WOS]SOFT BIOMETRICS
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Computer Science ; Engineering ; Optics
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号WOS:000395844700021
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14433
专题模式识别国家重点实验室_生物识别与安全技术研究
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
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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.
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