IMPLEMENTATION OF BACKGROUND SUBTRATION ALGORITHM FOR MOVING OBJECT DETECTION AND TRACKING FOR SURVELLANCE USING OPENCV
Keywords:
Moving object detection; Moving object tracking; Motion detection; Opencv; Background subtraction algorithm; Moving object detection ; Video surveillance; Image processing; Video processingAbstract
Visual surveillance is an active research topic in computer vision that tries to detect, recognize and track
objects over a sequence of images and it also makes an attempt to understand and describe the object by replacing the
aging old traditional method of monitoring cameras by human operators. A computer vision system, and hence alerts
the human operator for deeper investigation of the event. The video surveillance system can be manual, semiautomatic, or fully-automatic depending on the human intervention, in manual video surveillance system; human
operator responsible for monitoring does the entire task while watching the visual information coming from the
different cameras. It’s a tedious and arduous job of an operator to watch the multiple screen and at the same time to
be vigilant from any unfortunate event, so we are going to make system that prove to be ineffective for busy large
places as the number of cameras exceeds the capability of human experts. Here we are going to implement the
background subtraction algorithm and going to get moving object detected and tracked.
