Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking

By Keli Hu , En Fan , Jun Ye, Changxing Fan , Shigen Shen , Yuzhang Gu

Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking
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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. The mean-shift tracker is quite popular because of its efficiency and performance in a range of conditions. 

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