Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking
نویسندگان
چکیده
منابع مشابه
Neutrosophic Similarity Score Based Weighted Histogram for Robust Mean-Shift Tracking
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. However, the challenge of background clutter also disturbs its performance. In this a...
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The background-weighted histogram (BWH) algorithm proposed in [2] attempts to reduce the interference of background in target localization in mean shift tracking. However, in this paper we prove that the weights assigned to pixels in the target candidate region by BWH are proportional to those without background information, i.e. BWH does not introduce any new information because the mean shift...
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ژورنال
عنوان ژورنال: Information
سال: 2017
ISSN: 2078-2489
DOI: 10.3390/info8040122