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Authors: Vitalijs Komasilovs 1 ; Aleksejs Zacepins 1 ; Armands Kviesis 1 ; Eliecer Peña 2 ; Felipe Tejada-Estay 2 and Claudio Estevez 2

Affiliations: 1 Faculty of Information Technologies and Latvia University of Agriculture, Latvia ; 2 Universidad de Chile, Chile

Keyword(s): Traffic Monitoring, Video Processing, Multi-object Tracking, Motion Modeling.

Abstract: Smart traffic management and monitoring is one of the key aspects of the modern smart city. Traffic flow estimation is crucial for sustainable traffic planning in the city. A requirement for successful planning and optimization of traffic is vehicle counting on the streets. Surveillance video is a suitable data source for precise vehicle counting. A solution for real-time vehicle traffic monitoring, tracking and counting is proposed in Jelgava city, Latvia. It is based on motion detection using background modeling, which is enhanced by statistical analysis. Two-phase assessment is utilized: motion blobs are detected and tracked using custom state machine implementation, then tracking results are passed through number of statistical filters to eliminate false positive detections. The system demonstrates good performance and acceptable accuracy on given test cases (about 97% accuracy for regular traffic conditions).

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Paper citation in several formats:
Komasilovs, V. ; Zacepins, A. ; Kviesis, A. ; Peña, E. ; Tejada-Estay, F. and Estevez, C. (2018). Traffic Monitoring System Development in Jelgava City, Latvia. In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - RESIST; ISBN 978-989-758-293-6; ISSN 2184-495X, SciTePress, pages 659-665. DOI: 10.5220/0006629606590665

@conference{resist18,
author={Vitalijs Komasilovs and Aleksejs Zacepins and Armands Kviesis and Eliecer Peña and Felipe Tejada{-}Estay and Claudio Estevez},
title={Traffic Monitoring System Development in Jelgava City, Latvia},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - RESIST},
year={2018},
pages={659-665},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006629606590665},
isbn={978-989-758-293-6},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - RESIST
TI - Traffic Monitoring System Development in Jelgava City, Latvia
SN - 978-989-758-293-6
IS - 2184-495X
AU - Komasilovs, V.
AU - Zacepins, A.
AU - Kviesis, A.
AU - Peña, E.
AU - Tejada-Estay, F.
AU - Estevez, C.
PY - 2018
SP - 659
EP - 665
DO - 10.5220/0006629606590665
PB - SciTePress

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