NDLI: Crosswalk Detection Based on MSER and ERANSAC

Content Provider	IEEE Xplore Digital Library
Author	Yuqiang Zhai Guolong Cui Qin Gu Lingjiang Kong
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. Eng., UESTC, Chengdu, China (Yuqiang Zhai; Guolong Cui; Qin Gu; Lingjiang Kong)
Abstract	Crosswalks detection and location in traffic scenes plays an important role in the Intelligent Transportation Management System (ITMS). In this paper, we propose a new novel and robust approach for the detection and location of crosswalks, which is based on Maximally Stable Extremal Regions (MSER) and extended Random Sample Consensus (ERANSAC). Specially, first, the method with temporal median of background extraction is applied to traffic monitoring videos so that the foreground has a less disturbance for crosswalks detection and location. Second, we use a method of MSER to extract crosswalk features in the image. Last, we invent the ERANSAC to pick out crosswalk features extracted by MSER to detect and locate crosswalk and indicate the position of crosswalk in the image. Compared to the existing detection methods, the proposed method based on MSER can efficiently extract crosswalk regions under various illumination conditions, which can avoid the selection of thresholds according to the current environment situation and greatly improve the system flexibility and robustness. The ERANSAC can determine the distance between candidate samples and get the principle components by the way of eliminating the non-crosswalk regions. Promising experimental results have demonstrated that the proposed method has a high detection rate at extremely false alarm and is robust to the different crosswalk angle and various illuminations.
Starting Page	2770
Ending Page	2775
File Size	624170
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Yttrium Monitoring Videos Cameras Lighting Fitting Intelligent Transportation System crosswalks detection MSER ERANSAC
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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