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In recent studies kernel based object tracking (KBOT) using Bhattacharya coefficient as similarity measure is shown to be robust and efficient object tracking technique. Image histogram provides a compact summarization of the distribution of data in an image. Due to computational efficiency; histogram has been successfully applied in KBOT based tracking algorithms. However without spatial or shape...
This paper presents a new stereo matching method based on Kernel Density Estimation (KDE) and Graph Cut. KDE similarity is applied to the image's color disparity difference sample space and a measure method of the difference of the corresponding matching elements is obtained. Based on the KDE similarity, the data penalty of the Global Energy Function of Stereo Matching problem can be constructed....
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