Effectiveness of Approaches for Rail Candidates Detection and Verification of the SVM

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121636" target="_blank" >RIV/00216305:26230/16:PU121636 - isvavai.cz</a>

Result on the web

<a href="http://www.ictic.sk/archive/?vid=1&aid=2&kid=50501-285" target="_blank" >http://www.ictic.sk/archive/?vid=1&aid=2&kid=50501-285</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18638/ictic.2016.5.1" target="_blank" >10.18638/ictic.2016.5.1</a>

Result language

angličtina

Original language name

Effectiveness of Approaches for Rail Candidates Detection and Verification of the SVM

Original language description

Rail candidates detection is the primary task in railway recognition systems based on recognition in images taken from the camera mounted on the board of the locomotive. In order to reduce the classifier complexity, effective and responsible rail candidates generation plays an important role without placing big decision responsibility on a further classifier stage. There are two basic options. Due to the rich complex environment along the track, pixel-per-pixel methods are often omitted. The second option involving a thorough investigation around a pixel is preferred. In this paper, we present comparison between two different approaches to rail candidates detection, each representing one of the basic groups, furthermore consequences in rail hypotheses generation. We introduce the finding that using the SVM is more efficient than the method based on pixel-per-pixel.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ICTIC - Proceedings in Conference of Informatics and Management Sciences

ISBN

978-80-554-1196-5

ISSN

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e-ISSN

—

Number of pages

5

Pages from-to

152-156

Publisher name

University of Žilina

Place of publication

Žilina

Event location

Žilina

Event date

Mar 21, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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