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Moving Object Graphs and Layer Extraction from Image Sequences (2001)  (Make Corrections)  
David Tweed and Andrew Calway Department of Computer Science University of...
Proceedings of the British Machine Vision Conference



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Abstract: We describe a new approach to extracting layered representations from image sequences based on moving object graphs (MOGs). A MOG is a form of region adjacency graph which links together local motion segmentations corresponding to distinct moving regions in the scene, typically either foreground objects or the background. The local motion segmentations are obtained by fusing colour segmentations with block motion estimates and the MOGs link segmentations with consistent spatial and motion ... (Update)

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BibTeX entry:   (Update)

@inproceedings{ tweed01moving,
    author = "David Tweed and Andrew Calway",
    title = "Moving Object Graphs and Layer Extraction from Image Sequences",
    booktitle = "Proceedings of the British Machine Vision Conference",
    publisher = "BMVA",
    editor = "Tim Cootes and Chris Taylor",
    isbn = "1-901725-16-2",
    pages = "133--142",
    year = "2001",
    url = "citeseer.ist.psu.edu/478497.html" }
Citations (may not include all citations):
11   Motion estimation using adaptive correlation and local direc.. - Calway, Kruger et al. - 1998  ACM   DBLP

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