Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Traffic Flow Detection for Complex Scene Based on Image Sequence

Authors
Na Li, Jinqiao Feng, Jingshan Pan, Weidong Gu, Yanling Zhao, Guangqi Liu, Hongjun Zhong
Corresponding Author
Na Li
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.13How to use a DOI?
Keywords
vehicle detection; statistics of vehicle flow; complex scenes; background difference method; frame difference method
Abstract
A method of traffic flow detection for complex scenes based on image sequence is proposed, which is aiming at realizing intelligent vehicle detection and flow statistics for traffic videos shot by single camera located at the urban traffic intersection. For target vehicle detection, Gaussian-filtering mean method is utilized to create the dynamic real-time background; meanwhile it is combined with frame difference method to locate the motion vehicles in the foreground. Moreover, test-stripe detecting method is used for vehicle counting, in which data streams representing vehicle information are extracted with sliding window and are modified by Predictor-Corrector scheme to count the vehicles more accurately. Finally, a prototype system is designed to realize vehicle flow statistics for complex traffic scenes, combined with the judgment algorithm of vehicle traveling direction. Experimental simulation represents that target vehicle detection avoids the respective disadvantages of the two methods, that is background difference method and frame difference method, and obtains better detection effects. The prototype system captures good real-time performance and statistical data of the vehicle flow are comparatively accurate.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Na Li
AU  - Jinqiao Feng
AU  - Jingshan Pan
AU  - Weidong Gu
AU  - Yanling Zhao
AU  - Guangqi Liu
AU  - Hongjun Zhong
PY  - 2014/03
DA  - 2014/03
TI  - Traffic Flow Detection for Complex Scene Based on Image Sequence
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 58
EP  - 64
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.13
DO  - https://doi.org/10.2991/mce-14.2014.13
ID  - Li2014/03
ER  -