标题:A large RGB-D gait dataset and the baseline algorithm
作者:Yu, Shiqi ;Wang, Qing ;Huang, Yongzhen
作者机构:[Yu, Shiqi ;Wang, Qing ] College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China;[Huang, Yongzhen ] Nationa 更多
会议名称:2012 International Conference on Service-Oriented Computing, ICSOC 2012
会议日期:November 16, 2013 - November 17, 2013
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2013
卷:8232 LNCS
页码:417-424
DOI:10.1007/978-3-319-02961-0_52
摘要:With the development of depth sensors, images with high quality depth can be obtained easily. Using depth information, some challenging problems in gait recognition can be reconsidered and better solutions can be developed. To prompt gait recognition with depth information, a large RGB-D gait dataset is introduced. It contains 99 subjects, with 8 sequences for each subjects in two different views. A baseline algorithm, namely Gait Energy Surface (GES), is proposed for researchers to evaluate their own algorithms. Even it is a baseline algorithm, encouraging experimental results have been achieved. © Springer International Publishing 2013.
收录类别:EI
资源类型:会议论文
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