The object tracking and movement prediction based on the Gaussian mixture model
Dongsheng Lyu · Applied and Computational Engineering · 2023
In modern computer vision study field, it has never been stopped for giving computer human ability and expecting for even more powerful functions. Most research is still in theoretical level and is hard to be applied in individual daily life. Hence it is needed to bring the advantage of new technologies in computer vision field to more people in society. This paper introduces an application in computer vision field, namely the use of Gaussian Mixture Model (GMM) for object track and movement prediction. By using GMM, the computer will have the ability to split an object from the background. Although due to sudden changes in lighting and other external factors, the general modeling of the background is not very clean and clear, the Gaussian Mixture model is one of the most successful modeling methods.