BibTeX:

@article{IJIRSTV3I4064,
     title={Survey on Background Modeling and Foreground Detection Methods},
     author={Nifi C Joy and Dr. Prasad J. C.},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={4},
     pages={338--341},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I4064.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In Image Processing, a very trivial task is to detect the changes in the multiple images of the same scene of a real time instant. The task is not only trivial but also very indispensable as it brings into play a great number of diversified subject area applications such as, remote sensing, surveillance, medical diagnosis and treatment, security surveillance, and underwater sensing. This paper reviews the studies involved in background subtraction techniques. Object detection is basically the most important step in video analysis. There are various studies which are aimed at detecting the objects in video sequences. But due to fast illumination change in a visual surveillance system, many of them are not tolerant to dynamic background. There are various background subtraction algorithms for detection of moving objects, but many of them fail with slow-moving objects or in poor image qualities of videos and does not distinguish shadows from moving objects. The real time video surveillance models encompass the predictive and the foreground background modelling techniques.

Background Subtraction, Visual Surveillance System, Foreground Detection, Background Modeling