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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | She, Qingyun Lu, Zongqing Liao, Qingmin |
| Copyright Year | 2014 |
| Description | Author affiliation: Shenzhen Key Lab. of Information Sci & Tech/Shenzhen Engineering Lab. of IS & DRM Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China (She, Qingyun; Lu, Zongqing; Liao, Qingmin) |
| Abstract | In this paper, we present an efficient vanishing point detection method for challenging road images. This detection process is based on the geometrical features of the roads. The slope distribution of the line segments is analyzed to reduce the spurious lines. A distance-based weighting scheme is also utilized to eliminate the voting noise in the voting stage. The proposed algorithm has been tested on a natural data set from Defense Advanced Research Projects Agency (DARPA). Experimental results with both quantitative and qualitative analyses are provided, which demonstrate the superiority of the proposed method over some state-of-the-art methods. |
| Starting Page | 996 |
| Ending Page | 1000 |
| File Size | 310276 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479957514 |
| DOI | 10.1109/ICIP.2014.7025200 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-27 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Image edge detection Estimation Real-time systems Image segmentation Noise Histograms voting Vanishing point detection road detection geometrical features |
| Content Type | Text |
| Resource Type | Article |
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