An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution

Joint Authors

Wang, Rongben
Zhang, Ronghui
Jiang, Tonghai
Ge, Ping-Shu
Zhou, Xi

Source

Advances in Mechanical Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-26

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mechanical Engineering

Abstract EN

Vehicle-flow detection and tracking by digital image are one of the most important technologies in the traffic monitoring system.

Gaussian mixture distribution method is used to eliminate the influence of moving vehicle firstly in this text, and then we built the background images for vehicle flow.

Combining the advantages of background difference algorithm with inter frame difference operator, the real-time background is segmented integrally and dynamically updated accurately by matching the reconstructed image with current background.

In order to ensure the robustness of vehicle detection, three by three window templates are adopted to remove the isolated noise spot in the image of vehicle contour.

The template structural element is used to do some graphical morphological filtering.

So, the corrosion and expansion sets are obtained.

To narrow the target search scope and improve the calculation speed and precision of the algorithm, Kalman filtering model is used to realize the tracking of fast moving vehicles.

Experimental results show that the method has good real-time and reliable performance.

American Psychological Association (APA)

Zhang, Ronghui& Ge, Ping-Shu& Zhou, Xi& Jiang, Tonghai& Wang, Rongben. 2013. An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504165

Modern Language Association (MLA)

Zhang, Ronghui…[et al.]. An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution. Advances in Mechanical Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-504165

American Medical Association (AMA)

Zhang, Ronghui& Ge, Ping-Shu& Zhou, Xi& Jiang, Tonghai& Wang, Rongben. An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504165

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-504165