The mean shift tracker algorithm

资 源 简 介

The mean shift tracker algorithm was implemented using matlab.

详 情 说 明

The mean shift tracker algorithm was implemented using Matlab. This algorithm is widely used in computer vision for object tracking. It is a non-parametric method that is capable of tracking objects in video sequences. The algorithm works by iteratively shifting a window in the direction of the highest density of data points. By doing so, it can accurately track the object of interest even in the presence of noise and occlusions. The implementation of the algorithm in Matlab allows for easy experimentation and analysis of tracking results. Overall, the mean shift tracker algorithm is a powerful tool for object tracking in computer vision applications.