A REVIEW ON DIFFERENT TECHNIQUES OF MOTION BASED OBJECT TRACKING SYSTEM

Abstract

Field of image processing consists of verity of operation like image recognition, image sharpening, image
retrieval, video analysis, video processing and video quality enhancement etc. Video processing mainly concentrated on
tracking the object or retrieving the object’s properties from sequence of images, which is called as “frames”. In this
paper we are going to discuss about different object detection method, their adva ntages, limitations, assumptions etc.
Gaussian mixture model (GMM) is one of those method used for object detection. GMM gives accurate result for
detecting objects with some assumption. Existing work is also on the basis of this model. So, efficiency of o bject detection
process can be improved by eliminating some of those assumptions.