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
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