Future of Information and Communication Conference (FICC) 2025
28-29 April 2025
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.
Abstract: On the basis of a necessary development of the road safety, vision-based vehicle detection techniques have gained an important amount of attention. This work presents a novel vehicle detection and tracking approach, and structured based on a vehicle detection process starting from, images or video data acquired from sensors installed on board of the vehicle, to vehicle detection and tracking. The features of the vehicle are extracted by the proposed GIST image processing algorithm, and recognized by the state-of-art Support Vectors Machine classifier. The tracking process was performed based on edge features matching approach. The Kalman filter was used to correct the measurements. Extensive experiments were carried out on real image data validate that it is promising to employ the proposed approach for on road vehicle detection and tracking.
Ilyas EL JAAFARI, Mohamed EL ANSARI, Lahcen KOUTTI, Ayoub ELLAHYANI and Said CHARFI, “A Novel Approach for On-road Vehicle Detection and Tracking” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070181
@article{JAAFARI2016,
title = {A Novel Approach for On-road Vehicle Detection and Tracking},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070181},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070181},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Ilyas EL JAAFARI and Mohamed EL ANSARI and Lahcen KOUTTI and Ayoub ELLAHYANI and Said CHARFI}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.