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SVM based column-level approach for crosswalk detection in low-resolution images (CROSBI ID 694983)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Romic, Kresimir ; Galic, Irena ; Leventic, Hrvoje ; Habijan, Marija SVM based column-level approach for crosswalk detection in low-resolution images // 2020 International Symposium ELMAR. Zadar: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 133-137 doi: 10.1109/elmar49956.2020.9219032

Podaci o odgovornosti

Romic, Kresimir ; Galic, Irena ; Leventic, Hrvoje ; Habijan, Marija

engleski

SVM based column-level approach for crosswalk detection in low-resolution images

Development of automated assistance systems for the visually impaired is still relatively uncommon research topic. However, the use of the cameras and image processing is widely spread and can be a good source of useful information for the visually impaired user. In this work, we are considering usage of SVM (Support Vector Machine) for detecting the crosswalk region in low-resolution images. The proposed approach uses SVM to make decisions on column level thereby providing the horizontal position of the crosswalk in image. Such information can potentially help the visually impaired person to cross the road safely. Preliminary testing was conducted and satisfying results were obtained especially in terms of performance.

Visually impaired, SVM, Crosswalk detection, Column-level decision

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Podaci o prilogu

133-137.

2020.

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objavljeno

978-1-7281-5973-7

10.1109/elmar49956.2020.9219032

Podaci o matičnoj publikaciji

2020 International Symposium ELMAR

Zadar: Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

62nd International Symposium ELMAR-2020

predavanje

14.09.2020-15.09.2020

Zadar, Hrvatska

Povezanost rada

Računarstvo

Poveznice