Action Recognition in Still Images With Minimum Annotation Efforts

We focus on the problem of still image-based human action recognition, which essentially involves making prediction by analyzing human poses and their interaction with objects in the scene. Besides image-level action labels (e.g., riding, phoning), during both training and testing stages, existing w...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 11 vom: 01. Nov., Seite 5479-5490
1. Verfasser:	Yu Zhang (VerfasserIn)
Weitere Verfasser:	Li Cheng, Jianxin Wu, Jianfei Cai, Do, Minh N, Jiangbo Lu
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article