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10

ICIP
2000
IEEE

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Object Tracking by Adaptive Modeling

14 years 6 months ago

Object Tracking by Adaptive Modeling

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This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the Expectation-Maximization algorithm. The proposed object description results in a flexible representation.

Andrei Rares, Marcel J. T. Reinders

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Adaptive Statistical Models | ICIP 2000 | Image Processing | Object Features | Object Tracking |

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More Details (n/a)

Added	25 Oct 2009
Updated	27 Oct 2009
Type	Conference
Year	2000
Where	ICIP
Authors	Andrei Rares, Marcel J. T. Reinders

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