Real-time Lane Violation Detection System using Feature Tracking


The KIPS Transactions:PartB , Vol. 18, No. 4, pp. 201-212, Aug. 2011
10.3745/KIPSTB.2011.18.4.201,   PDF Download:

Abstract

In this paper, we suggest a system of detecting a vehicle with lane violation, which can detect the vehicle with lane violation, by using the feature point tracking. The whole algorism in the suggested system of detecting a vehicle with lane violation is composed of three stages such as feature extraction, register and tracking in feature for the tracking-targeted vehicle, and detecting a vehicle with lane violation. The feature is extracted from the morphological gradient image, which results in constructing robust detection system against shadows, weather conditions, head lights and illumination conditions without distinction day and night. The system shows excellent performance for the data captured at day time, night time, and rainy night time as much as 99.49% for positive recognition ratio and 0.51% for error ratio. Also the system is so fast as much as 91.34 frames per second in average that it may be possible for real-time processing.


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Cite this article
[IEEE Style]
H. S. Lee, S. H. Jeong, J. W. Lee, "Real-time Lane Violation Detection System using Feature Tracking," The KIPS Transactions:PartB , vol. 18, no. 4, pp. 201-212, 2011. DOI: 10.3745/KIPSTB.2011.18.4.201.

[ACM Style]
Hee Sin Lee, Sung Hwan Jeong, and Joon Whoan Lee. 2011. Real-time Lane Violation Detection System using Feature Tracking. The KIPS Transactions:PartB , 18, 4, (2011), 201-212. DOI: 10.3745/KIPSTB.2011.18.4.201.