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How to cite (IEEE):
M. Arriffin, S. Mostafa, U. Khattak, M. Jaber, Z. Baharum, -. Defni, & T. Gusman
"Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems," JOIV : International Journal on Informatics Visualization, vol. 7, no. 2, , pp. 295-300, May. 2023.
https://doi.org/10.30630/joiv.7.2.1820
How to cite (APA):
Arriffin, M., Mostafa, S., Khattak, U., Jaber, M., Baharum, Z., Defni, -., & Gusman, T.
(2023).
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems.
JOIV : International Journal on Informatics Visualization, 7(2), 295-300.
https://doi.org/10.30630/joiv.7.2.1820
How to cite (Chicago):
Arriffin, Maizatul Najihah, Mostafa, Salama A., Khattak, Umar Farooq, Jaber, Mustafa Musa, Baharum, Zirawani, Defni, -, AND Gusman, Taufik.
"Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems" JOIV : International Journal on Informatics Visualization [Online], Volume 7 Number 2 (11 May 2023)
https://doi.org/10.30630/joiv.7.2.1820
How to cite (Vancouver):
Arriffin M, Mostafa S, Khattak U, Jaber M, Baharum Z, Defni -, & Gusman T .
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems.
JOIV : International Journal on Informatics Visualization [Online]. 2023 May;
7(2):295-300.
https://doi.org/10.30630/joiv.7.2.1820
How to cite (Harvard):
Arriffin, M., Mostafa, S., Khattak, U., Jaber, M., Baharum, Z., Defni, -., & Gusman, T.
,2023.
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems.
JOIV : International Journal on Informatics Visualization, [Online] 7(2), pp. 295-300.
https://doi.org/10.30630/joiv.7.2.1820
How to cite (MLA8):
Arriffin, Maizatul Najihah, Salama A. Mostafa, Umar Farooq Khattak, Mustafa Musa Jaber, Zirawani Baharum, - Defni, & Taufik Gusman.
"Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems." JOIV : International Journal on Informatics Visualization [Online], 7.2 (2023): 295-300. Web. 5 Dec. 2023
, https://doi.org/10.30630/joiv.7.2.1820
BibTex Citation Data :
@article{JOIV1820,
author = {Maizatul Najihah Arriffin and Salama A. Mostafa and Umar Farooq Khattak and Mustafa Musa Jaber and Zirawani Baharum and - Defni and Taufik Gusman},
title = {Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {7},
number = {2},
year = {2023},
keywords = {Traffic flow analysis; vehicle speed estimation; Kalman filter; Pinhole model; bilateral filter},
abstract = {Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. This research aims to develop a model for estimating vehicle speed from video streams to support traffic flow analysis (TFA) systems. Subsequently, this paper proposes a vehicle speed estimation model with three main stages of achieving speed estimation: (1) pre-processing, (2) segmentation, and (3) speed detection. The model uses a bilateral filter in the pre-processing strategy to provide free-shadow image quality and sharpen the image. Gaussian filter and active contour are used to detect and track objects of interest in the image. The Pinhole model is used to assess the real distance of the item within the image sequence for speed estimation. Kalman filter and optical flow are used to flatten vehicle speed and acceleration uncertainties. This model is evaluated with a dataset that consists of video recordings of moving vehicles at traffic light junctions on the urban roadway. The average percentage for speed estimation error is 20.86%. The average percentage for accuracy obtained is 79.14%, and the overall average precision of 0.08.},
issn = {2549-9904}, pages = {295--300}, doi = {10.30630/joiv.7.2.1820},
url = {https://joiv.org/index.php/joiv/article/view/1820}
}
Refworks Citation Data :
@article{{JOIV}{1820}, author = {Arriffin, M., Mostafa, S., Khattak, U., Jaber, M., Baharum, Z., Defni, -., Gusman, T.}, title = {Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {2}, year = {2023}, doi = {10.30630/joiv.7.2.1820}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Society of Visual Informatocs, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.