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10

ICIP
2006
IEEE

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Model-Free, Statistical Detection and Tracking of Moving Objects

14 years 6 months ago

Model-Free, Statistical Detection and Tracking of Moving Objects

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A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need any prior models of the objects of interest or of the scene. It starts with homogenous regions as tracking primitives and creates complex objects by merging similar moving regions. Even partially occluded objects in a sequence captured by a moving camera can be tracked efficently and robust.

Mark Ross

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Complex Objects | Homogenous Regions | ICIP 2006 | Image Processing | Similar Moving Regions |

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Added	22 Oct 2009
Updated	27 Oct 2009
Type	Conference
Year	2006
Where	ICIP
Authors	Mark Ross

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