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Publication detail
SOCHOR, J.
Original Title
Fully Automated Real-Time Vehicles Detection and Tracking with Lanes Analysis
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper presents a fully automated system for traffic surveillance which is able to count passing cars, determine their direction, and the lane which they are taking. The system works without any manual input whatsoever and it is able to automatically calibrate the camera by detecting vanishing points in the video sequence. The proposed system is able to work in real time and therefore it is ready for deployment in real traffic surveillance applications. The system uses motion detection and tracking with the Kalman filter. The lane detection is based on clustering of trajectories of vehicles. The main contribution is a set of filters which a track has to pass in order to be treated as a vehicle and the full automation of the system.
Keywords
motion detection, tracking, vehicles, traffic surveillance camera, direction detection, lanes detection, real-time
Authors
RIV year
2014
Released
10. 7. 2014
Publisher
Technical University Wien
Location
Smolenice
ISBN
978-3-9502533-6-8
Book
Proceedings of CESCG 2014
Pages from
59
Pages to
66
Pages count
8
BibTex
@inproceedings{BUT111628, author="Jakub {Sochor}", title="Fully Automated Real-Time Vehicles Detection and Tracking with Lanes Analysis", booktitle="Proceedings of CESCG 2014", year="2014", pages="59--66", publisher="Technical University Wien", address="Smolenice", isbn="978-3-9502533-6-8" }