CASIA OpenIR  > 类脑智能研究中心
Cross-view Action Recognition via Transductive Transfer Learning
Jie Qin; Zhaoxiang Zhang; Yunhong Wang
2013-09-15
会议名称International Conference on Image Processing
会议录名称ICIP 2013
会议日期15-18 September 2013
会议地点Melbourne, Australia
摘要Human action recognition is a hot topic in computer vision field. Various applicable approaches have been proposed to recognize different types of actions. However, the recognition performance deteriorates rapidly when the viewpoint changes. Traditional approaches aim to address the problem by inductive transfer learning, in which target-view samples are manually labeled. In this paper, we present a novel approach for cross-view action recognition based on transductive transfer learning. We address the problem by transferring instances across views. In our settings, both labels of examples from the target view and the corresponding relation between examples from pairwise views are dispensable. Experimental results on the IXMAS multi-view data set demonstrate the effectiveness of our approach, and are comparable to the state of the art.
关键词Transductive Svm Action Recognition Transfer Learning
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13286
专题类脑智能研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Jie Qin,Zhaoxiang Zhang,Yunhong Wang. Cross-view Action Recognition via Transductive Transfer Learning[C],2013.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jie Qin]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
百度学术
百度学术中相似的文章
[Jie Qin]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
必应学术
必应学术中相似的文章
[Jie Qin]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。