Learning texton models for real-time scene context

Learning texton models for real-time scene context

We present a new model for scene context based on the distribution of textons within images. Our approach provides continuous, consistent scene gist throughout a video sequence and is suitable for applications in which the camera regularly views uninformative parts of the scene. We show that our mod...

Полное описание

Библиографические подробности
Главные авторы:	Flint, A, Reid, I, Murray, D, IEEE
Формат:	Conference item
Опубликовано:	2009

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