• Dr. Navneet S. Ghedia
• Dr. C. H. Vithalani
• Dr. Ashish Kothari

` Visual Monitoring System is the high research area in Today’s era. Visual study in computer vision helps to analyze the object actions easily. Computer vision will completely replace traditional human operated Video Surveillance System. A major part of smart video surveillance system is characterized by perception and the robustness of a Smart Video Surveillance System is not only to sense the environment, but also to interpret and act intelligently. Improvement in perception will lead to applications for defence and robotic driving assistance. At the present time researchers are focused on object detection, object tracking, crowd analysis, pedestrian and vehicle identification to look up the security at the public places. The goal of the proposed work is to ensure high level of security in public places using static Pan Tilt Zoom (PTZ) camera and to expand vigorous object detection algorithm for the smart and cautious video surveillance.

video surveillance and monitoring, Computer Vision, Background Model, Gaussian Mixture Model, Foreground Detection.

"Foreground Detection application to Outdoor Surveillance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.389-394, May-2019, Available :http://www.jetir.org/papers/JETIR1905Y56.pdf

"Foreground Detection application to Outdoor Surveillance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp389-394, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Y56.pdf