Enhancement of distinct dynamic broadcasting technique in architecture of object detection and tracking with cloud

Abstract

Generally the surveillance system wireless camera is used to monitor the object in heavy traffic in secured way and it also support satellite communication to broadcast the tracked object information to others. It is used to reduce computational delay in real time detection and tracking videos. In object detection and tracking system detection and background separation is very important role, here powerful ruling camera is used to increase the algorithm time complexity compared to normal tracking system. In this paper we propose competent CAMSHIFT algorithm which is both Normalized cross correlation and mean shift algorithm's combination. By the usage of this competent CAMSHIFT object tracking techniques is used to track the object that we need to focus depending on the internal features of the object in non ideal environment. Here we propose cloud environment which incorporate a distinct dynamic effective broadcasting algorithm which renders efficient way to share the information extraordinarily without loss of information during their transmission to destination. It also supports high secured data transmission between end users, so as to achieve the real time detection and tracking of an object that is moving which is processed by OPENCV/MATLAB.