VANET used for Efficient Detection and Recognition of Objects in Image Processing.

Abstract

A novel application regarding to the image processing for the Vehicular Ad hoc Network (VANET) is proposed in this paper. Vehicular Ad hoc Networks is a form or type of mobile adhoc network to provide communication among nearby vehicles and nearby fixed equipments or roadside units for improving efficiency and safety of transportation. Creating a query in order to get data from an image captured by a camera placed in a vehicle is the main idea of the application. The query is not related to a database but it is aimed for a still image in real time processing. We could get data by detecting and recognizing objects in an image by using the query. Even though it possesses characteristics of high node mobility and fast topology changes but still it can provide wide variety of services, ranging from safety related warning message system. The paper presents a system and a new language for querying image data. It is a unique solution because a proposed system could process and detect objects specified by a query using object oriented perspective in real-time images.