A real time vehicle counting based on adaptive tracking approach for highway videos

Muhamad Soleh, Grafika Jati, Ananto Tri Sasongko, Wisnu Jatmiko, M. H. Hilman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Detection, Tracking, and Counting the number of vehicles is the main foundation of intelligent systems for monitoring vehicle traffic flow. This research is going to perform vehicle detection using background subtraction algorithm and morphology operation. The result of those methods categorized as candidate object. Contour detection applied to define the object from its candidate. Vehicle is determined using threshold area of contour properties. The detected vehicles is tracked using an adaptive distance similarity measurement. Then, vehicle will be counted using the counting line after its vehicles pass that line. The proposed method is tested in four datasets with different challenges such as differences in light, weather, camera vibration, and image blurring. The research obtains satisfactory results especially in noon and rainy dataset with the accuracy higher than 93% for vehicle detection, tracking, and counting. The proposed method is able to detect, perform tracking, and counting the number of vehicles in a real time for highway videos.

Original languageEnglish
Title of host publicationProceedings - WBIS 2017
Subtitle of host publication2017 International Workshop on Big Data and Information Security
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-98
Number of pages6
ISBN (Electronic)9781538620380
DOIs
Publication statusPublished - 29 Jan 2018
Event2017 International Workshop on Big Data and Information Security, WBIS 2017 - Jakarta, Indonesia
Duration: 23 Sep 201724 Sep 2017

Publication series

NameProceedings - WBIS 2017: 2017 International Workshop on Big Data and Information Security
Volume2018-January

Conference

Conference2017 International Workshop on Big Data and Information Security, WBIS 2017
CountryIndonesia
CityJakarta
Period23/09/1724/09/17

Keywords

  • Adaptive Tracking
  • Highway Videos
  • Real Time
  • Vehicle Counting
  • Vehicle Detection

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  • Cite this

    Soleh, M., Jati, G., Sasongko, A. T., Jatmiko, W., & Hilman, M. H. (2018). A real time vehicle counting based on adaptive tracking approach for highway videos. In Proceedings - WBIS 2017: 2017 International Workshop on Big Data and Information Security (pp. 93-98). (Proceedings - WBIS 2017: 2017 International Workshop on Big Data and Information Security; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWBIS.2017.8275108