TY - JOUR ID - 22084 TI - Vehicle speed and dimensions estimation using on-road cameras by identifying popular vehicles JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Khosravi, H. AU - Asgarian Dehkordi, R. AU - Ahmadyfard, A. AD - Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran Y1 - 2022 PY - 2022 VL - 29 IS - 5 SP - 2515 EP - 2525 KW - Speed Estimation KW - Dimension Estimation KW - Bag of Word KW - Vehicle Recognition DO - 10.24200/sci.2020.55331.4174 N2 - One of the major issues related to traffic monitoring systems is analyzing the behavior of vehicles and identifying their characteristics. In this paper, an automated algorithm is proposed for calibration of the road cameras. This calibration is used to estimate the speed and dimensions of the passing vehicles. In this method, a motion plane is obtained in the initial frames according to the direction of moving vehicles. After modeling the background, removing shadows, and identifying the exact boundaries of passing vehicles, a number of common vehicles are recognized by the Bag of Words method. Given the actual metric dimensions of these vehicles and the equivalent dimensions on the motion plane, the metric coefficients are calculated and the calibration process is completed. Each passing vehicle is projected on the motion plane, and speed and dimensions are calculated by tracking it along the road. To test the accuracy of the proposed method, we constructed a ground-truth video dataset, by simultaneous capturing the road vehicles using RGB and speed cameras. Furthermore, to identify common vehicles, a dataset of vehicle images was collected. The proposed method evaluated on our dataset and the mean error of 1.15 km/h is achieved. Accordingly, it outperforms previous methods. UR - https://scientiairanica.sharif.edu/article_22084.html L1 - https://scientiairanica.sharif.edu/article_22084_e3618a43a00d9520c84264ec942d2a0e.pdf ER -