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http://dx.doi.org/10.3745/KIPSTB.2011.18B.4.201

Real-time Lane Violation Detection System using Feature Tracking  

Lee, Hee-Sin (전북대학교 컴퓨터공학과)
Jeong, Sung-Hwan (전북대학교 컴퓨터공학과)
Lee, Joon-Whoan (전북대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.18B, no.4, 2011 , pp. 201-212 More about this Journal
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.
Keywords
Feature Tracking; Lane Violation Detection; Real-time Processing; Robust to Weather and Illumination Conditions; Possible to Detect Without Distinction of Day and Night;
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Times Cited By KSCI : 2  (Citation Analysis)
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