Lane Mark Identifying and Tracking Base on Edge Enhancement

Yan Yun Xing; Bo Yu; Fang Qun Yang

doi:10.4028/www.scientific.net/AMM.596.355

Paper Titles

An Image Retrieval Algorithm Based on Region Segmentation
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Combined Filter Method Based on Terrain Factors
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Design and Implementation of Safety Lock Based on Face Recognition
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Image Quality Assessment Based on Region of Interest
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Lane Mark Identifying and Tracking Base on Edge Enhancement
p.355

Mathematical Morphology Based Moving Object Detection Algorithm under Complicated Background
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Removing the Stripe Noises Interference on the Hα Full-Disk Solar Image Based on Multiscale Transform
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Research on Scene Organize Algorithm Based on BVH with Dynamic Rendering Tree
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Study of Video Object Detection and Shadow Suppression Algorithms
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Lane Mark Identifying and Tracking Base on Edge...

Lane Mark Identifying and Tracking Base on Edge Enhancement

Abstract:

In order to improve the accuracy of lane mark line identifying and tracking, this paper uses the LOG operator for edge enhancement, so the useful information is changed into straight lines and the useful feature is obvious. And the paper uses the algorithm of 2-D gray histogram to segment the image. Then it uses Hough transformation to identify the lane mark’s two edges and account its intercept and slope, then draws the midline as the final identifying result. Finally in order to reduce the count time, the paper uses the identifying results of the last frame image limit the current frame image recognition areas in tracking lane mark. The experiments results show that the lane mark can be tracking dependably and the algorithms are real-time, moreover, when the algorithm is failure, the system can also recover in time, and locks the tracking target accurately again.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

355-360

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.355

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Online since:

July 2014

Authors:

Yan Yun Xing, Bo Yu*, Fang Qun Yang

Keywords:

Edge Enhancement, Identifying, Lane Mark, Tracking

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