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Visual object tracking is a critical task in computer vision. Challenging things always exist when an object needs to be tracked. For instance, background clutter is one of the most challenging problems.

Neutrosophic set (NS) is a new branch of philosophy to deal with the origin, nature, and scope of neutralities. Many kinds of correlation coefficients and similarity measures have been proposed in neutrosophic domain.

The weight of the truth, indeterminacy, and falsity membership under the neutrosophic framework may be different when dealing with different problems. Due to this, a component weighted cosine similarity coefficient was proposed, and it was introduced into the mean shift tracking algorithm.