User detection in real-time panoramic view through image synchronization using multiple camera in cloud

Nowadays to manage a big collection of image data is becoming a major issue for companies as well as for smart phone device. After panoramic view in camera, elongated fields of view technology and algorithms has been fully utilizes in industrial area, commercial systems, painting and mobile devices such as smart phones and portable computers. But still majority of panoramic view is only implemented to capture wide angle scenery or a three-dimensional model. In this paper a cloud computing service and its application for data synchronization with multiple cameras has been presented. This service has been implemented using image extracted data transferring without multiple devices for synchronization. For image data analysis, a dedicated application is developed with single capture device and each data will be sent to server for image processing computation. The goal of this research is to provide a better image data synchronization which perform a faster real-time panoramic view and analyze human tracking information precisely. In this system multiple cameras were used with image data synchronization to get panoramic view and performing human detection from each panoramic view frames. The system is setup with multiple camera connected with few computer where each of them sending image direct to cloud server and one of machine will be retrieving all image contents directly from cloud server for information mapping, image stitching and computation part. For better performance different cloud server has been used to analyze data transferring size, speed, computation time with different features tracking method. Finally this paper concludes with a system which can be specially use in wide are view for multiple capture devices. This system can be used in various systems which can help in vehicle safety system as well as wide are human detection.