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Abstract: The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds include waves on water, clouds moving, trees waving in the wind, automobile trafc, moving crowds, escalators, etc. We have developed a novel foregroundbackground segmentation algorithm that explicitly accounts for the non-stationary nature and clutter-like appearance of many dynamic textures. The dynamic texture is... (Update)
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BibTeX entry: (Update)
J. Zhong and S. Sclaroff. Segmenting foreground objects from a dynamic textured background via a robust kalman filter. International Conference on Computer Vision, October 2003. http://citeseer.ist.psu.edu/zhong03segmenting.html More
@misc{ zhong03segmenting,
author = "J. Zhong and S. Sclaroff",
title = "Segmenting foreground objects from a dynamic textured background via a
robust kalman filter",
text = "J. Zhong and S. Sclaroff. Segmenting foreground objects from a dynamic
textured background via a robust kalman filter. International Conference
on Computer Vision, October 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/zhong03segmenting.html" }
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