NDLI: Road Type Estimation and Hierarchical Real-Time Vanishing Point Detection

Content Provider	IEEE Xplore Digital Library
Author	Yuan Sun Hongbo Lu Zhimin Zhang
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Comput. Archit., Inst. of Comput. Technol., Beijing, China (Yuan Sun; Hongbo Lu; Zhimin Zhang)
Abstract	Image-based road vanishing point (VP) detection is a challenging problem as the algorithm needs to deal with different road type with varying imaging conditions in real time. We propose a hierarchical VP detection method with the ability to choose efficient algorithms for different road types. Firstly, road scenes are classified into 4 types based on holistic road features abstracted from responses of Gabor filters, which also coarsely locate the road. Then, the distinct edge or line-like texture of each road type is adaptively extracted by a new road-line-segment detection method. Finally, VP is estimated by road-type-specific voting and verification. Experiments on 1000 general road images show that, the proposed method can detect VP under complex road scenes, achieving improvements for both accuracy and efficiency, compared with the state of the art methods relying on single features.
Starting Page	332
Ending Page	337
File Size	1370082
Page Count	6
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis line-segment detection vanishing point road types Image color analysis Roads Image edge detection holistic feature Estimation Feature extraction Gabor filters
Content Type	Text
Resource Type	Article

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