Learning layered motion segmentations of video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, which consist of one or more segments. Included in the model are the effects of image projection, lighting, and motion bl...
| Главные авторы: | , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2005
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