Learning realistic human actions from movies

The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in the past due to several problems one of which is the lack of realistic and annotated video datasets. Our first contribut...

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Veröffentlicht in:	2008 IEEE Conference on Computer Vision and Pattern Recognition S. 1 - 8
Hauptverfasser:	Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2008
Schlagworte:	Cameras Humans Image recognition Layout Motion pictures Object recognition Robustness Text categorization Video sharing
ISBN:	9781424422425, 1424422426
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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