期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 7, 期 5, 页码 1511-1521出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2012.2204253
关键词
Gait database; gait recognition; large population; performance evaluation
资金
- Ministry of Education, Culture, Sports, Science and Technology, the Japanese Government [21220003]
This paper describes the world's largest gait database-the OU-ISIR Gait Database, Large Population Dataset-and its application to a statistically reliable performance evaluation of vision-based gait recognition. Whereas existing gait databases include at most 185 subjects, we construct a larger gait database that includes 4007 subjects (2135 males and 1872 females) with ages ranging from 1 to 94 years. The dataset allows us to determine statistically significant performance differences between currently proposed gait features. In addition, the dependences of gait-recognition performance on gender and age group are investigated and the results provide several novel insights, such as the gradual change in recognition performance with human growth.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据