Abstract:
In this paper the common methods for motion detection were surveyed. Then, a new
approach named "Moving Average Filter" presented as a heuristic technique for
modeling the background of the frames sequence in presence of the moving object. This
technique shows a better result in contrast to the common techniques since it is faster
and has good noisy environment detections because of low pass filtering characteristic
of the Moving Average Filter. In addition, using the technique presented for
implementing Moving Average Filter the volume of computation time are greatly
reduced. Therefore, this technique is reasonably suitable to be implemented in portable
and real time applications.