Estimation of optical flow from sequential image method applied for object tracking

This paper builds a novel extracting method by sequentially read frame by frame images or video feed without consuming all of the resource of the equipment. This method calls a function between temporal change of brightness at a target pixel. This one can define the edge of each frame of the image at the local velocity. So we will compare the two images and take the absolute difference between them. Thus it will leave the perfect threshold to represent which pixels change between the two images after comparison then we may estimate analytically from lags times of the correlation functions. We will start by the principle that human eye can see a moving object from the background that is still, however, the object is bouncing or moving because it's related to the background. Sequential Image algorithm can be further refined to yield time complexity. Its result can show the linear speedup and can be achieved quite faster without consuming all system resources.