• Dr. Navneet S. Ghedia
• Dr. C. H. Vithalani
• Dr. Ashish Kothari
• Dr. Chiragkumar N. Jasani

Visual Monitoring System requires competent approximation of the background, background modelling and precise motion detection. Background subtraction is the easier and faster approach to categorize the background and foreground. Generally, all of the modern smart and intelligent video surveillance system requires robust detection of the foregrounds which efficiently deal with various environment challenges. As per the detailed literature survey single algorithm is not capable to deal with all constraints, on the basis of the wide space application and requirements researchers usually, focuses on the classification or segmentation techniques. The aim of this paper is to provide the accurate and complete study of the various background modeling approaches and foreground detection techniques. This survey intended for some of the popular statistical pixel based parametric and non parametric approaches, region based approached and some of the popular hybrid approaches for the background handles. The focus and need of the study is to deal with the various datasets and real time video sequences challenges. in spite of of all the literature survey still some of the challenges like object abrupt motion, object complex silhouette, object appearance and camera motion are various issues for the researchers.

Background Estimation, Background Modeling, Foreground Detection, Visual Monitoring

"Background Estimation: A Critical Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.395-399, May-2019, Available :http://www.jetir.org/papers/JETIR1905Y57.pdf

"Background Estimation: A Critical Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp395-399, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Y57.pdf