3D Real Time Tracking and Recognization of Moving Object Using Kalman Filter

This paper demonstrate a technique related to video surveillance system improving the Future security systems. The main objective of this paper is to increase efficiency of moving object detection and tracking using 3D model. The method used in this paper is detection in video surveillance system then tracking the object in the scene. Detection of moving object subtly/accurately is a challenging task especially in 2D tracking. Limitation can be overcome in 3D Tracking. In contrast of 3D tracking it will require high level of application that formulate the location, Shape of every object in every frame having two images producing with two different cameras situated at certain angular distance apart from each other. This paper presents the study on the implementation of Matlab using Kalman tracker in a feedback configuration based on moving object, detection algorithm, image processing technique like filtering, extraction, segmentation, conversion, adding, multiplying etc.