International Journals of Advanced Research in Computer Science and Software Engineering ISSN: 2277-128X (Volume-7, Issue-6) Research Article June 2017 © www.ijarcsse.com , All Rights Reserved Page | 798 Real-Time Traffic Detection using Horizontal and Vertical Scanning Tania Chawla 1 , Dr Asmita A. Moghe 2 1 SOIT-RGPV, Bhopal, India 2 Department of Information Technology, UIT RGPV, Bhopal, India DOI: 10.23956/ijarcsse/V7I6/0 Abstract: Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. Traffic congestion at times leads to delay in emergency services (i.e. Ambulance, Firefighter, Police, etc.) and most of the time causes inconvenience to commuters. In this paper a new traffic detection method is proposed which is based on the horizontal and vertical scanning of video frames to obtain accurate vehicle detection. Traffic congestion is measured in terms of traffic intensity which helps to ascertain whether the traffic at a given point is low, medium or high. The proposed method shows better result as compare to other methods in terms of accuracy. Keywords: Intelligent Traffic management, Emergency Vehicle, Morphological Operations, Horizontal and vertical scanning and video processing. I. INTRODUCTION With increase in population and corresponding increase in vehicular traffic leads to road congestion. Such traffic congestion leads to many major problems and challenges in the urban areas and populated cities. This causes wastage of time leading to missing opportunities, frustration and delay in reaching destination. Traffic loads depend heavily on parameters such as time, day, season, weather conditions and unpredictable situations such as accidents, special events or construction activities. If these parameters are not taken into account, the traffic control system will create delays. To solve the problem of congestion, new roads are built. The only disadvantage of making new roads on the facilities is that it makes the environment more congested. So, for that reason, it is necessary to change the system rather than make new infrastructure twice. A traffic control system can solve these problems by continuously detecting and adjusting the timing of traffic signals according to the actual traffic load such a system called as intelligent traffic control system. The advantages of building an intelligent traffic control system is to reduce congestion; operating costs; provide alternative routes for travelers, increase the capacity of the infrastructure. Most urban traffic is controlled by sensors and cameras which needs to be installed on major roads and streets. The existence of an automatic traffic detection system will assist in determining the traffic [1]. These systems extract information from the larger traffic issue and help us decide to improve traffic policy [3, 4]. The goal of this current research is to develop an automatic vehicle counting system, which can process videos recorded from stationary cameras over roads e.g. CCTV cameras installed near traffic intersections / junctions and counting the number of vehicles passing a spot in a particular time for further collection of vehicle / traffic data. The paper aims to automate the traffic control system on highways and streets to determine Traffic Density , identify streets, roads in order to count the cars and monitoring of roads. Figure1 shows a sample image of urban traffic. Fig-1 Urban Traffic II. RELATED WORK The video object or motion detection and tracking are two tasks that play a fundamental role in video surveillance systems, transport systems, military applications, game systems, and so on. Vehicle detection is a process of detecting the presence or absence of a vehicle in the video sequence. Vehicle tracking is defined as the location of a vehicle in each frame of the video sequence. Typically, the result of the detection is used as the initialization process for tracking. Vehicle detection and tracking systems for ITS(intelligent traffic system) applications are carried out using: 1) static or mobile cameras, 2) single or multiple cameras, 3) fixed cameras or panoramic cameras (PTZ). The effectiveness