Robust Road Modeling and Tracking using Condensation

Wang, Yan and Bai, Li and Fairhurst, Michael (2008) Robust Road Modeling and Tracking using Condensation. IEEE Transactions on Intelligent Transportation Systems, 9 (4). pp. 570-579. ISSN 1524-9050. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1109/TITS.2008.2006733

Abstract

In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divided into horizontal strips, and vanishing point (VP) detection is performed on each image strip. We propose a method for estimating the density of road boundary line segments in the image so that VP detection in an image strip takes into account the detection results in the neighboring image strips. This use of contextual information for VP detection leads to more accurate detection results. The estimated road parameters are then used to initialize the condensation tracker. Experiments using real road videos demonstrate the robustness of our method to difficult road conditions due to the presence of partial occlusion, shadows and road signs.

Item Type: Article
Uncontrolled keywords: Computer vision; condensation filter; road detection and tracking
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 25 Mar 2009 15:14
Last Modified: 17 Apr 2014 10:34
Resource URI: http://kar.kent.ac.uk/id/eprint/17526 (The current URI for this page, for reference purposes)
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