中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Enhancing person re-identification by integrating gait biometric

文献类型:期刊论文

作者Zheng Liu; Zhaoxiang Zhang; Qiang Wu; Yunhong Wang
刊名Neurocomputing
出版日期2014-11-01
卷号168期号:1页码:1144-1156
关键词Person Re-identification Visual Surveillance Gait Fusion Strategy Metric Learning
英文摘要Person re-identification is an important problem for associating behavior of people monitored in surveillance camera networks. The fundamental challenges of person re-identification are the large appearance distortions caused by view angles, illumination and occlusions. To address these challenges, a method is proposed in this paper to enhance person re-identification by integrating gait biometric. The proposed framework consists of the hierarchical feature extraction and descriptor matching with learned metric matrices. Considering the appearance feature is not discriminative in some cases, the feature in this work composes of the appearance features and the gait feature for shape and temporal information. In order to solve the view-angle change problem and measuring similarity, data are mapped into a metric space so that distances between people can be measured more accurately. Then two fusion strategies are adopted. The score-level fusion computes distances on the appearance feature and the gait feature, respectively, and combine them as the final distance between samples. The feature-level fusion firstly installs two types of features in series and then computes distances by the fused feature. Finally, our method is tested on the CASIA gait dataset. Experiments show that integrating gait biometric is an effective way to enhance person re-identification.
会议地点Singapore, Singapore
会议日期1-5 November 2014
源URL[http://ir.ia.ac.cn/handle/173211/13211]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Zheng Liu,Zhaoxiang Zhang,Qiang Wu,et al. Enhancing person re-identification by integrating gait biometric[J]. Neurocomputing,2014,168(1):1144-1156.
APA Zheng Liu,Zhaoxiang Zhang,Qiang Wu,&Yunhong Wang.(2014).Enhancing person re-identification by integrating gait biometric.Neurocomputing,168(1),1144-1156.
MLA Zheng Liu,et al."Enhancing person re-identification by integrating gait biometric".Neurocomputing 168.1(2014):1144-1156.

入库方式: OAI收割

来源:自动化研究所

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