  Recently the use of video surveillance systems is widely increasing.
Different places are equipped by camera surveillances such as hospitals,
schools, airports, museums and military places in order to ensure the safety
and security of the persons and their property. Therefore it becomes
significant to guarantee the proper working of these systems. Intelligent video
surveillance systems equipped by sophisticated digital camera can analyze video
information s and automatically detect doubtful actions. The camera tampering
detection algorithms may indicate that accidental or suspicious activities have
occurred and that causes the abnormality works of the video surveillance.
  Camera Tampering Detection uses several techniques based on image processing
and computer vision. In this paper, comparative study of performance of three
algorithms that can detect abnormal disturbance for video surveillance is
presented.
