Overview

Original Research

VEHICLE SPEED ESTIMATION BASED ON VIDEOS USING DEEP LEARNING TECHNIQUES

DASARI SIVA KRISHNA 1, PRASAD VADAMODULA 2, and K. JAYASRI 3.

Vol 17, No 09 ( 2022 )   |  DOI: 10.5281/zenodo.7118812   |   Author Affiliation: Department of Computer Science & Engineering, GMR Institute of Technology, Rajam, Srikakulam 1,2; Department of Computer Science & Engineering, Vignan Institute of Engineering for Women, Visakhapatnam 3.   |   Licensing: CC 4.0   |   Pg no: 1320-1333   |   To cite: DASARI SIVA KRISHNA, et al., (2022). VEHICLE SPEED ESTIMATION BASED ON VIDEOS USING DEEP LEARNING TECHNIQUES. 17(09), 1320–1333. https://doi.org/10.5281/zenodo.7118812   |   Published on: 22-09-2022

Abstract

Now-a-days, road accidents are rapidly increasing. There are many reasons for road accidents like vehicle clashing, over-speed of vehicles which are resulting in major loss for not only the person involved but also their entire family. Though rules are imposed, there is no control on speed of the vehicles. Speed can be estimated by calculating the velocity of moving vehicles. This project aims at calculating speed of various vehicles using a video dataset. It is decided to develop a model to calculate the speed of the vehicles using OpenCV. OpenCV is used for the vehicle detection and it increases the prediction accuracy. This algorithm is fast due to no iterations for object detection. Tracking is done and speed is estimated. This project takes a video as input and gives the speed of the vehicles in the video as output.

Keywords

Speed estimation, vehicles, videos, OpenCV, tracking.