Abstract
Vehicle speed is an important parameter that finds tremendous application in traffic control identifying over speed vehicles with a view to reducing accidents. Many methods, such as using RADAR and LIDAR sensors have been proposed. However, these are expensive, and their accuracy is not quite satisfactory. In this paper, a video-based vehicle speed determination method is presented. The method shows satisfactory performance on standard data sets and gives that error rate of velocity estimation is within 10%.
Highlights
Traffic accidents are very dangerous as these result in injury and death of passengers and pedestrians in addition to the damage of vehicles and roads
The method shows satisfactory performance on standard data sets and gives that error rate of velocity estimation is within 10%
The speed of vehicle is considered as one of the main factors for road accidents, and, it is an important traffic parameter, so detection of speed of a vehicle [2]-[7] is very significant for more smooth traffic manage
Summary
Traffic accidents are very dangerous as these result in injury and death of passengers and pedestrians in addition to the damage of vehicles and roads. Bangladesh is one of the top countries in the world where road accident rate is very high. According to statistics of road accidents and casualties from Bangladesh Police, in the year of 2016, 2566 dangerous accidents occurred and that caused 2463 deaths and 2134 injuries [1]. An imaged-based vehicle speed estimation method is developed using physics-based velocity theory. Several video-based techniques are developed for detecting moving objects, such as temporal differentiation, optical flow, background subtraction, etc. A hybrid technique is used that consists of an adaptive background subtraction technique and a three-frame differentiation method.
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