Vehicle counting and classification for traffic data acquisition

With current traffic condition in indonesia where congestion and overloaded road capacity become a serious issue,we need more advanced traffic monitoring system to manage and monitor the traffic condition. in this paper,we propose a method and technique to collect the traffic data automatically by using charge-coupled device (ccd) camera as a sensor. the traffic data were collected by using the counting method that proposed and existing image processing methods in computer vision (background subtraction and tracking). background subtraction is being used here for background modeling and detect object. after the vehicle can be detected as an object we used the two line counting method to get the traffic data (volume and velocity) that will be needed to analyze the traffic condition. © 2016 penerbit utm press. all rights reserved.