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
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