Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting

Author

Sánchez, A. ; Suárez, P.D. ; Conci, A. ; Nunes, E.O.

Author_Institution

Dept. of Comput., Rey Juan Carlos Univ., Madrid, Spain

Volume

13

Issue

3

fYear

2011

Firstpage

38

Lastpage

45

Abstract

Imaging hardware and video processing techniques offer advantages for traffic monitoring and surveillance. As these experiments show, using appropriate road and vehicle modeling and strong vehicle detection and tracking algorithms offers a good trade-off between correct dynamic vehicle identification and a real-time frame rate. Further, heuristic rules can help analyze and solve difficult traffic situations.

Keywords

computerised monitoring; object detection; object tracking; road traffic; road vehicles; traffic engineering computing; video signal processing; video surveillance; dynamic vehicle identification; heuristic rule; imaging hardware; real-time frame rate; traffic monitoring; traffic surveillance; vehicle counting; vehicle detection; vehicle modeling; vehicle tracking; video processing technique; video-based distance traffic analysis; Decision support systems; Tracking; Traffic control; Video signal processing; Machine learning; applications; computer vision; edge and feature detection; feature representation; heuristic methods; intelligent systems; knowledge modeling; object recognition; transportation; video analysis;

fLanguage

English

Journal_Title

Computing in Science & Engineering

Publisher

ieee

ISSN

1521-9615

Type

jour

DOI

10.1109/MCSE.2010.143

Filename

5654483