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ICPR
2008
IEEE

Orientation and scale invariant mean shift using object mask-based kernel

11 years 7 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation of the orientation change and scale adaptation. The proposed method uses an object mask to construct a kernel which has the shape of the actual object for tracking. Orientation is adjusted using probabilistic estimation of orientation and scale is adapted using a newly proposed descriptor for scale. Tests results show that the proposed method is robust to background clutter and tracks objects very accurately.
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
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