Description: A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is
proposed in this paper to address the problem of how to estimate the scale and orientation
changes of the target under the mean shift tracking framework. In the original mean shift
tracking algorithm, the position of the target can be well estimated, while the scale and
orientation changes can not be adaptively estimated. Considering that the weight image
derived from the target model and the candidate model can represent the possibility that a
pixel belongs to the target, we show that the original mean shift tracking algorithm can be
derived using the zeroth and the first order moments of the weight image. With the zeroth order
moment and the Bhattacharyya coefficient between the target model and candidate model, a
simple and effective method is proposed to estimate the scale of target. Then an approach,
which utilizes the estimated area and the second order center moment, is proposed to
adaptively e
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IET_CV_SOAMST_2011\aa.avi
..................\correctCov.m
..................\ellipse_slow.avi
..................\enlargeCov.m
..................\findRegionBoundary_AVI.m
..................\makeTrackingImage.m
..................\makeWeightImage.m
..................\moment2Ellipse.m
..................\rgbPDF_SOAMST.m
..................\rgbTracking_SOAMST.m
..................\select.m
..................\SOAMST_Demo.m
IET_CV_SOAMST_2011
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