Cross-view action recognition via low-rank based domain adaptation

Wen Sheng Tseng, Lun Kai Hsu, Li Wei Kang, Yu Chiang Frank Wang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Cross-view action recognition is a challenging problem, since one typically does not have sufficient training data at the target view of interest. With recent developments of domain adaptation, we propose a novel low-rank based domain adaptation model for mapping labeled data from the original source view to the target view, so that training and testing can be performed at that domain. Our model not only provides an effective way for associating image data across different domains, we further advocate the structural incoherence between transformed data of different categories. As a result, additional data discriminating ability is introduced to our domain adaptation model, and thus improved recognition can be expected. Experimental results on the IXMAS dataset verify the effectiveness of our proposed method, which is shown to outperform state-of-the-art domain adaptation approaches.

原文英語
主出版物標題2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
頁面3244-3248
頁數5
DOIs
出版狀態已發佈 - 2013
對外發佈
事件2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, 澳大利亚
持續時間: 2013 九月 152013 九月 18

出版系列

名字2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

會議

會議2013 20th IEEE International Conference on Image Processing, ICIP 2013
國家/地區澳大利亚
城市Melbourne, VIC
期間2013/09/152013/09/18

ASJC Scopus subject areas

  • 電腦視覺和模式識別

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