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The mean shift tracker has achieved great success in visual object tracking due to its efficiency being nonparametric. However, it is still difficult for the tracker to handle scale changes of the object. In this paper, we associate a scale adaptive approach with the mean shift tracker. Firstly, the target in the current frame is located by the mean shift tracker. Then, a feature point matching procedure...
The mean shift tracker has achieved great success in visual object tracking due to its efficiency being nonparametric. However, it is still difficult for the tracker to handle scale changes of the object. In this paper, we associate a scale adaptive approach with the mean shift tracker. Firstly, the target in the current frame is located by the mean shift tracker. Then, a feature point matching procedure...
Basic-mode partial correlation elimination (BMP) has received popularity in recent years for fast template matching based on Zero-mean Normalized Cross Correlation (ZNCC). BMP is a full search equivalent template matching method, which examines pixel by pixel, and eliminates the rest of the computation as soon as it finds out that the current location is not likely to be the best match. In this paper,...
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