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Title: Speed Prediction of Fast Approaching Vehicle Using Moving Camera
Authors: Gauttam, Hutesh Kumar
Mohapatra, Ramesh Kumar
Keywords: Speed Detection Camera
Vehicle Detection
Vehicle Tracking
Machine Learning Techniques (YOLO Algorithm)
Issue Date: Sep-2019
Citation: 4th International conference on computer vision & image processing (CVIP 2019),Jaipur, India, 27-29 September 2019
Abstract: . Vehicle accidents are increasing day by day as a result of high-speed vehicles on highways so, the speed determination of fastapproaching vehicles is becoming a challenging task with moving camera. Most of the vehicles are driven above the prescribed vehicle speed. On expressways, light motor vehicles are unaware of the speed of the rapid vehicle following to them. So in this paper, an algorithm has been proposed to anticipate the speed of the fast approaching vehicle by a moving camera to offer better security. The proposed method comprises of mainly hree successive steps, vehicle detection using YOLO (You Only Look Once) algorithm on the video stream, vehicle position tracking over the continuous frame and speed calculation of approaching vehicle using a moving camera. The relative speed is determined using relative distance travelled by vehicle over a number of frames. This proposed algorithm is giving on an average 90% accuracy in speed prediction of approaching vehicles.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

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