I am using HoughCircles to detect the position of the circle(the images are from the camera of the UAV ), but the position coordinates of the center of the circle and the radius of the circle are disturbed by Gaussian noise,so i want to use the kalman filter to remove the noise,but the question is can i use the kalman filter of one dimension to process the position (including x,y) and radius severally? is this way is equal to predict the circle with a more complicated kalman filter?
the images are from the camera of the UAV, so it is a little hard to describe the circles position in the image