Enhancing person re-identification by integrating gait biometric

CASIA OpenIR > 智能感知与计算研究中心

	Enhancing person re-identification by integrating gait biometric
	Zheng Liu; Zhaoxiang Zhang; Qiang Wu; Yunhong Wang
发表期刊	Neurocomputing
	2014-11-01
卷号	168 期号:1 页码:1144-1156
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.
关键词	Person Re-identification Visual Surveillance Gait Fusion Strategy Metric Learning
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13211
专题	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.