Traffic Analysis by Means of Open-Source Computing

Abstract

System in this paper is structured and executed with Visual C++ programming with Intel's Open CV video stream preparing framework to understand the constant programmed vehicle discovery and vehicle tallying. Freeways, roadways and streets are getting stuffed because of increment in number of vehicles. Vehicle location, following, characterization and tallying is significant for military, nonmilitary personnel and government applications, for example, interstate observing, traffic arranging, toll accumulation and traffic stream. For the traffic the board, vehicles discovery is the basic advance. PC Vision based procedures are progressively appropriate since these frameworks don't upset traffic while establishment and they are anything but difficult to adjust. In this paper we present modest, compact and Computer Vision based frame work for moving vehicle discovery and checking. Picture from video arrangement is taken to identify moving vehicles, so that foundation is removed from the pictures. The removed foundation is utilized in consequent investigation to recognize and characterize moving vehicles as light vehicles, substantial vehicles and cruiser. The framework is executed utilizing Open CV picture improvement packs and trial results are illustrated from continuous video taken from single camera. We tried this framework on a workstation fueled by an Intel Core Duo (1.83 GHZ) CPU and 2GB RAM. This thruway traffic checking procedure has been created by foundation subtraction, picture sifting, picture parallel and division strategies are utilized. This framework is likewise fit for checking moving vehicles from pre-recorded recordings.