Enhanced Active Color Image for Gait Recognition

被引:0
|
作者
Shang, Yufei [1 ]
Song, Yonghong [1 ]
Zhang, Yuanlin [1 ]
机构
[1] Xi An Jiao Tong Univ, Xian 710049, Shaanxi, Peoples R China
来源
BIOMETRIC RECOGNITION | 2016年 / 9967卷
关键词
Gait recognition; Biometric authentication; Enhanced active color image; WALKING;
D O I
10.1007/978-3-319-46654-5_51
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Active Energy Image (AEI) is an efficient template for gait recognition. However, the AEI is short of the temporal information. In this paper, we present a novel gait template, named Enhanced Active Color Image (EACI). The EACI is extract the difference of two interval in each gait frame, followed by calculating the width of that difference image and then mapping into RGB space with the ratio, describing the relative position, and composition them to a single EACI. To prove the validity of the EACI, we employ experiments on the USF HUMANID database. Experiment result shows that our EACI describes the dynamic, static and temporal information better. Compared with other published gait recognition approaches, we achieve competitive performance in gait recognition.
引用
收藏
页码:462 / 470
页数:9
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