There are many problems in the video surveillance system
[3], such as: picture is indistinct, anomalies cannot be identified
automatically and a lot of storage spaces are needed to save
the surveillance information. Moreover, in recent years, Motion
Detection [4], [5] has attracted a great interest from computer
vision researchers due to its promising applications in many
areas, such as video surveillance, traffic monitoring or sign
language recognition. To overcome storage spaces issue, we
apply the Motion Detection algorithm for live camera streaming,
this allows the system to analyze incoming images from
cameras, and recognize when movement occurs.