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Thus, the image is segmented using the mean shift method according to [22].
The set of regions is obtained by a color-based segmentation using the mean shift method [13].
But our modifications do not add any computational expensive routines to the mean shift method and the EM-algorithm is only run at the beginning of the tracking.
The algorithm does not label pixels in the region of cluster boundaries; this is done by an accelerated version of the mean shift method.
The core of the mean shift method is the computation of the offset from an old object position to a new position by estimating the mean shift vector: (14).
Zelang et al. [21] proposed a method for road centerline extraction from classified image which consists of the three stages: feature points are extracted using tensor voting, kernel density estimation is used to find probability of each pixel being located on the road centerline, and feature points are projected onto ridge lines using the subspace constrained mean shift method.
Similar(51)
To improve the precision our morphological segmentation, bilateral filtering and mean shift methods were used and described below.
This method first used mean-shift method to track the contact wire in the video.
It used the mean-shift method to approximate the local maximum value of the density function.
Mean shift-based methods which are not only adapting the kernel scale but also the orientation of the kernel are presented in [14 17].
Mean shift is a local method making it insensitive to non-uniform intensities.
Related(20)
mean transformation method
mean shift procedure
mean shift approach
mean shift methods
mean field method
mean shift scheme
mean imputation method
mean shift algorithm
mean shift filtering
mean shift tracking
mean square method
mean score method
mean shift technique
mean difference method
mean calculation method
mean center method
mean shift convergence
mean centering method
mean ref method
mean shift iteration
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