Naslov
Measurement of Road Traffic Parameters based on Multi-Vehicle Tracking

Autori
Kovačić, Kristian ; Ivanjko, Edouard ; Jelušić, Niko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Croatian Computer Vision Workshop CCVW2015 / Lončarić, Sven ; Krapac, Josip - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2015, 3-8

Skup
Fourth Croatian Computer Vision Workshop CCVW2015

Mjesto i datum
Zagreb, Hrvatska, 22.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Computer vision; local binary patters; extended Kalman Filter; road vehicles; traffic parameters

Sažetak
Development of computing power and cheap video cameras enabled today’s traffic management systems to include more cameras and computer vision based applications for monitoring and control of road transportation systems. Combined with image processing algorithms cameras are used as sensors to measure road traffic parameters like flow volume, origin-destination matrices, classify vehicles, etc. In this paper we propose a system for measurement of road traffic parameters (basic motion model parameters and macroscopic traffic parameters). The system is based on Local Binary Pattern image features classification with a cascade of Gentle Adaboost classifiers to determine vehicle existence and its location in an image. Additionally, vehicle tracking and counting in a road traffic video is performed by using Extended Kalman Filter and virtual markers. The newly proposed system is compared with a system based on background subtraction. Comparison is performed by means of evaluating execution time and accuracy.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport

POVEZANOST RADA