中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cross-view Action Recognition via Transductive Transfer Learning

文献类型:会议论文

作者Jie Qin; Zhaoxiang Zhang; Yunhong Wang
出版日期2013-09-15
会议日期15-18 September 2013
会议地点Melbourne, Australia
关键词Transductive Svm Action Recognition Transfer Learning
英文摘要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.
会议录ICIP 2013
源URL[http://ir.ia.ac.cn/handle/173211/13286]  
专题自动化研究所_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
Jie Qin,Zhaoxiang Zhang,Yunhong Wang. Cross-view Action Recognition via Transductive Transfer Learning[C]. 见:. Melbourne, Australia. 15-18 September 2013.

入库方式: OAI收割

来源:自动化研究所

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