Shift mean image tracking
no vote
Application background first of all, it is a branch of mathematical statistics, which is a branch of mathematical statistics. The parameter density estimation method requires that the feature space is subject to a known probability density function, and it is very difficult to achieve this condition in the practical application. But no parameter density estimation method requires the least prior knowledge, and it can be used to estimate the training data and can be used to estimate the density of arbitrary shape. Therefore, the density function of the probability density function is not specified in the form of the structure of the probability density function. Commonly used nonparametric density estimation methods are: histogram method, nearest neighbor method and kernel density estimation method. Key Technology MeanShift algorithm is a kernel density estimation method, which does not require any prior knowledge and is completely d