%0 Journal Article
%T A Robust Background Removal Algortihms Using Fuzzy C-Means Clustering
%A S.Lakshmi
%A V.Sankaranarayanan
%J International Journal of Network Security & Its Applications
%D 2013
%I Academy & Industry Research Collaboration Center (AIRCC)
%X Background subtraction is typically one of the first steps carried out in motion detection using static video cameras. This paper presents a novel method for background removal that processes only some pixels of each image. Some regions of interest of the objects in the image or frame are located with the help of edgedetector. Once the region is detected only that area will be segmented instead of processing the whole image. This method achieves a significant reduction in computation time that can be used forsubsequent image analysis. In this paper we detect the foreground object with the help of edge detector and combinethe Fuzzy c-means clustering algorithm to segment the object by means of subtracting the current frame from the previous frame, the accuratebackground is identified.
%K International Journal of Network Security & Its Applications (IJNSA)
%K Vol.5
%K No.2
%K March 2013 DOI : 10.5121/ijnsa.2013.5207 93 A R OBUST B ACKGROUND R EMOVAL ALGORTIHMS USING FUZZY C - MEANS CLUSTERING S.Lakshmi 1 and Dr.V.Sankaranarayanan 2 1 Jeppiaar Engineering College
%K Chennai lakshmi1503@gmail.com 2 D i rector
%K Crescent Engineering College
%K Chennai sankarammu@yahoo.com A BSTRACT Back ground subtraction is typically one of the first steps carried out in motion detection using static video cameras.
%U http://airccse.org/journal/nsa/0313nsa07.pdf