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This can be achieved using the mean shift algorithm.
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].
The tracked target is divided into several fragments by integrating the log-likelihood ratio image and morphological operation, and each fragment is tracked through a kernel using the mean shift procedure.
Using the mean shift algorithm as introduced in [6], AbdAllah and Shimshoni [1] considered handling incomplete data by means of so-called MD(_{E}) distance; but did not supply any incomplete data handling scheme.
The MSCBAW method is working as follows: first of all, the centres of the sets automatically for each characteristics in dataset by using the mean shift clustering algorithm are computed.
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This proves the advantage of the new algorithm with regard to the previous one because, besides being simpler, this doesn't use the parameter, M. Nevertheless, the algorithms that used the mean shift were superior, in this application, to Otsu's method.
Up to 295 university students took part in the experiments and all trajectories were extracted using the mean-shift algorithm.
Throughout this work we use the mean-shift tracker.
It used the mean-shift method to approximate the local maximum value of the density function.
The smaller bandwidth parameter d used in the mean shift clustering algorithm prefers more tightly coupled video clusters.
More suggestions(15)
using the long shift
using the mean parameter
using the mean flow
using the mean distance
using the mean aggregation
using the electric shift
using the mean method
using the mean thickness-to-length
using the mean TIACs
using the mean response
using the mean stretch
using the mean average
using the mean number
using the mean age
using the mean square
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