This paper review's the origins of basic mean shift algorithm, as being a procedure which iteratively moves data points to the average of data points and its extension to the field of object tracking. Tracking of any given object forms integral part in surveillance, control and analysis applications. The video tracker presented here works on the principle of mean shift algorithm. However tracker is challenged when there tends to be low illumination, scaling, occlusions and multiple tracking. To tackle these problems, improvements are made in existing mean shift tracking algorithm of which a few are reviewed and studied.

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Mean Shift Algorithm Tracking Iterative Improvements