tailieunhanh - A vehicle detection algorithm for the application of road safety

The reliability and the accuracy of the vehicle detection algorithm for the application of road safety can be further boosted by applying method of image processing onto the data obtained through the industrial camera. | Journal of Automation and Control Engineering Vol. 4, No. 5, October 2016 A Vehicle Detection Algorithm for the Application of Road Safety Chee Yew Tung, Sim Kwok Swee, and Em Poh Ping Faculty of Engineering & Technology, Multimedia University, Malacca, Malaysia Email: cheeyewtung@, {kssim, ppem}@ reliably and extract effective information [4]. Appearance-based approach and feature-based approach are two branches in detecting vehicle on the road [4]. The most commonly used method for the purpose of vehicle detection is optical flow, background subtraction and lastly frame subtraction [5]. The method of background subtraction is the most famous and used technique at present [5]. Not only that, tailnight pair can be used for detecting vehicle in the night [6]. Texture descriptor [7], Haar filters [8], and some other method can also be used in detecting vehicle on the road. In this paper, a vehicle detection algorithm that can be applied onto the vehicle on road during broad daylight is presented. The aim of the research is to create a vehicle detection algorithm that can improve the safety of the driver and passenger and to minimize the number of accidents happening on the road. This paper is organized as follows: Methodology used in this paper in order to obtain the distance estimation algorithm is presented in Section II. The results obtained from the distance estimation algorithm and some discussion as to address the results obtained in this paper are presented in Section III. Section IV presents the conclusion and some future work of this paper. Abstract—Preventing road accidents from happening can be done by using the protective features available in vehicle such as seat belt and air bag. However, an act of prevention does nothing in reducing the rate of death on the road. An industrial camera is used to capture the image of the target vehicle in front of the vehicle installed with the camera in this paper. The method introduced inside the