A video-based traffic violation detection system

Author

Xiaoling Wang ; Li-min Meng ; Biaobiao Zhang ; Junjie Lu ; Du, K.-L.

Author_Institution

Enjoyor Labs., Enjoyor Inc., Hangzhou, China

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

1191

Lastpage

1194

Abstract

Traffic violation detection systems are effective tools to help traffic administration to monitor the traffic condition. It can detect traffic violations, such as running red lights, speeding, and vehicle retrogress in real time. In this paper, we propose an improved background-updating algorithm by using wavelet transform on dynamic background, and then track moving vehicles by feature-based tracking method. A complete traffic violation detection system is realized in C++ with OpenCV.

Keywords

image motion analysis; object detection; object tracking; road traffic; traffic engineering computing; video signal processing; wavelet transforms; C++ language; OpenCV; background-updating algorithm; dynamic background; feature-based tracking method; moving vehicle tracking; traffic administration; traffic condition monitoring; video-based traffic violation detection system; wavelet transform; Heuristic algorithms; Image edge detection; Real-time systems; Vehicles; Wavelet transforms; red running; traffic violation detection; vehicle tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885246

Filename

6885246