DETECTION OF MOVING OBJECT USING HYBRID APPROACH

Abstract

This research work represents a method for detection of moving objects. The main focus of this research paper is to reduce the time and improve the accuracy of object detection with the help of various approaches. In this research work Back propagation method, FCDH, CDH and NN is being used to improve the accuracy and time of object detection. Moreover, precision and mean square error are two parameters which have been also used in this work. The proposed work has been tested with different complex scenes of some benchmark, openly accessible video arrangements. It shows the better execution of the cutting-edge foundation subtraction methods accessible in the writing regarding order precision measurements. Although, detection of real shapes of the objects is really difficult dare due to various problems like vegetation, ripple water, fountains, illumination variation, cloudy situations and bootstrapping problem. To resolve the effect of the problems and researchers have proposed various approaches.