The implementation of the GaussianModeler

Implementing the data structure for the gaussian modeler required careful thought and consideration. Here my advanced course in java that i took for my M.Sc helped me come up with a good design. For most parts of the system, i want all my components to be loosely coupled. By "loosely coupled" i mean i want all the components to have a great degree of autonomy. In the sense that, if i dont like a component, i can easily replace it with another component, without making major changes to the controller/main code.

I figured that my gaussian model might change in the future, owing to the amount and different conditions that i will experimenting in - a single gaussian background model may not be sufficient.

I built a SingleGaussianBackground Model class that encapsulates in itself a structure that is illustrated below:



The RGBGaussianModeler class basically stores every information about the gaussian distribution (mean and standard deviation), and also has methods for updating the Gaussian model, for example adding a red, green or blue color to the distribution, changes the distribution. The RGBGaussianModeler doesnt store a single gaussian distribution, it stores the three separate distributions for all three channels (RGB) of the pixel.

The SingleGaussianBackground is less abstract, in the sense that it has methods that can access a pixel's RGBGaussianModel. It's constructor creates an object out of an array of images of type IplImage - openCVs image type.