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A Semi-Automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem

AuthID
P-00S-XGX

Author(s)

Rúbio, TRPM

Cruz, JA

Editor(s)

Analide,C;Novais,P;Camacho,D;Yin,H

Document Type

Proceedings Paper

Year published

2020

Published

in Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 12490, Pages: 602-609

Conference

21Th International Conference on Intelligent Data Engineering and Automated Learning, Ideal 2020, Date: 4 November 2020 through 6 November 2020

Indexing

Scopus^®

Dblp^®/en/publications/view/849437

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Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-030-62365-4_59

Dblp: conf/ideal/RubioCJGCSR20

Scopus: 2-s2.0-85097178826

Source Identifiers

ISSN: 0302-9743

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A Semi-Automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem

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A Semi-Automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem

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