Moving object detection has widely been adopted by the industry or organization because of its
broad applicability in real life this has been growing more and more. There are many existing methods
like temporal differencing, background subtraction, optical flow etc. All having some merits and
demerits. Central to these algorithms is the background subtraction method (including frame differencing,
mixture of Gaussian and approximation median) is simple, easy and used in real-time applications and no
need of using special hardware. But it is required to give better results to achieve a high accuracy.
In this paper, numerous proposed moving object detection algorithms have been compared on the basis
of their advantages. But still some work need to be done to improve accuracy. In the next phase of our
work, we will try to develop an algorithm which gives better results for moving object detection and we
will compare their results with the existing algorithms.