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ICIAR
2007
Springer

A Simple Oriented Mean-Shift Algorithm for Tracking

9 years 3 days ago
A Simple Oriented Mean-Shift Algorithm for Tracking
Mean-Shift tracking gained a lot of popularity in computer vision community. This is due to its simplicity and robustness. However, the original formulation does not estimate the orientation of the tracked object. In this paper, we extend the original mean-shift tracker for orientation estimation. We use the gradient field as an orientation signature and introduce an efficient representation of the gradient-orientation space to speed-up the estimation. No additional parameter is required and the additional processing time is insignificant. The effectiveness of our method is demonstrated on typical sequences.
Jamil Draréni, Sébastien Roy
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2007
Where ICIAR
Authors Jamil Draréni, Sébastien Roy
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