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A mean-shift tracker: implementations in C++ and Hume Main Wallace1 Aug/Sep 2005 A Duffield Foundation undergraduate research bursary working at School of Mathematical and Computer Sciences, Heriot-Watt
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What is a mean-shift tracker implementation?
A mean-shift tracker implementation is a computer vision algorithm used for tracking objects in a video sequence. It is based on the concept of shifting the window centroid towards the area of maximum density in a color or feature space.
Who is required to file a mean-shift tracker implementation?
There is no specific requirement to file a mean-shift tracker implementation. It is an algorithm used by computer vision researchers and developers in their projects.
How to fill out a mean-shift tracker implementation?
A mean-shift tracker implementation is not something that needs to be filled out. It is a computer vision algorithm that needs to be implemented using programming languages like Python or MATLAB.
What is the purpose of a mean-shift tracker implementation?
The purpose of a mean-shift tracker implementation is to track the movement of objects in a video sequence. It is commonly used in surveillance systems, object recognition, and augmented reality applications.
What information must be reported on a mean-shift tracker implementation?
There is no specific information that needs to be reported on a mean-shift tracker implementation. It is a computer vision algorithm used for tracking objects.
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