Detection of speed bumps using Gaussian mixture model

Conference proceedings article

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Publication Details

Author list: Srimongkon S., Chiracharit W.

Publisher: Hindawi

Publication year: 2017

Start page: 628

End page: 631

Number of pages: 4

ISBN: 9781538604496

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039922418&doi=10.1109%2fECTICon.2017.8096316&partnerID=40&md5=54d903da2eecb58ee642ecb3e7182454

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents a detection method for speed bumps using Gaussian mixture model. The model based on stripe pattern of speed bump is applied to segment it from road and various environmental backgrounds. Morphological closing operation is then performed as a post-processing to complete speed bump area. In the experiments, both day and night conditions are tested. The experimental results show that the proposed method can detect the bumps efficiently. ฉ 2017 IEEE.

Keywords

Gaussian Mixture Model, Speed Bump Detection