Recently, developing of image processing method which enables to track to moving objects on time series images
taken by a fixed camera is one of important subjects in the field of machine vision. Here, we try to consider
influences by change in brightness and change of region caused by moving objects, respectively. In this paper,
we introduce a new tracking method which can be reduced the influences by those changes. First, we use Radial
Reach Filter in order to detect the moving objects. In addition, the moving objects can be tracked by an image
processing based on information obtained by applying RRF and block division. Further, we propose a method in
the case that changes size of moving object by time progress. Finally, through experiments we show the validity
of our proposed method.
In this paper, we propose a new method of object detection. In the past, there are various methods of object detection. Especially, the method of the background subtraction has the effectiveness. However, the methods based on brightness differences are easily influenced by change in lighting condition. In this paper, we use Radial Reach Filter (RRF). RRF is called as the effective method of the change in lighting conditions. However, RRF is not considered change that caused by moving objects on the background image. Then, we propose the new method of object detection that considered motion of the moving objects on the background image. And, we verify the effectiveness by the experiments using a time series image.