Detection of Motorbike Speed Estimates Using Moving Object Detection with Frame Difference
- DOI
- 10.2991/icst-18.2018.176How to use a DOI?
- Keywords
- motorbike speed estimation; moving object detection; frame difference
- Abstract
The application of technology has developed in the field of traffic. The occurrence of traffic violations and an increase in the number of accidents triggered by the speed of vehicles that exceed the maximum limit specified. It especially two-wheeled vehicle or motorbike. The small form of a motorbike most often violates with speed exceeding the maximum limit. In this research discuss the detection of motorbike speed. The data used is video. This speed detection uses moving object detection with frame difference. In this method, the video will be cut into a frame image that will be detected. For each frame image obtained will be compared to any moving object. From the moving image it will be used to calculate the distance of the moving object so that the estimated speed of the motorbike. The results of detection of the distance of the object's displacement and the time used for moving objects can be calculated the average speed of the motorbike. Based on the results of testing the data obtained the average computational value of the program algorithm that for every one frame requires ± 0.837 seconds. The results of testing the data obtained the MSE value of 8.91 and standard error of ± 0.6 km/hour.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Eva Y. Puspaningrum AU - M.Syahrul Munir AU - Wahyu S.J. Saputra AU - Haris Ardianto W PY - 2018/12 DA - 2018/12 TI - Detection of Motorbike Speed Estimates Using Moving Object Detection with Frame Difference BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 872 EP - 876 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.176 DO - 10.2991/icst-18.2018.176 ID - Puspaningrum2018/12 ER -