ITS information source: Vehicle speed measurement using camera as sensor

Adi Nurhadiyatna, Benny Hardjono, Ari Wibisono, Wisnu Jatmiko, Petrus Mursanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

Inteligent Transportation System (ITS) is becoming a world wide solution for traffic problem. Various source of information should support the ITS decision making, to name a few: social media, mobile agent, and Closed Circuit Television or CCTV. In this paper we present a method to estimate vehicles speed using video processing in real time. Principal Component Analysis (PCA) is used to clasify vehicles. Kalman filter is harnessed to track and identify passing vehicles in real time. Then vehicle speed can be estimated via Euclidean Distance method. Speed accuracy obtained from ten video data, is in the ranges of 63 to 99.5%. The video data from this research is made available for public use.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages179-184
Number of pages6
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
Country/TerritoryIndonesia
CityDepok
Period1/12/122/12/12

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