Perfecting a Video Game with Game Metrics
Vol 13, No 3: September 2015

Adaptive Background Extraction for Video Based Traffic Counter Application Using Gaussian Mixture Models Algorithm

Raymond Sutjiadi (Institut Informatika Indonesia (IKADO))
Endang Setyati (Sekolah Tinggi Teknik Surabaya)
Resmana Lim (Petra Christian University)

Article Info

Publish Date
01 Sep 2015


The big cities in the world always face the traffic jam. This problem is caused by the increasing number of vehicle from time to time and the increase of vehicle is not anticipated with the development of new road section that is adequate. One important aspect in the traffic management concept is the need of traffic density data of every road section. Therefore, the purpose of this paper is to analyze the possibility of optimization on the use of video file recorded from CCTV camera for the visual observation and the tool for counting traffic density. The used method in this paper is adaptive background extraction with Gaussian Mixture Models algorithm. It is expected to be the alternative solution to get the data of traffic density with a quite adequate accuracy as one of aspects for decision making process in the traffic engineering

Copyrights © 2015

Journal Info





Computer Science & IT


Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...