Pregled bibliografske jedinice broj: 1085093
SVM based column-level approach for crosswalk detection in low-resolution images
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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
SVM based column-level approach for crosswalk detection in low-resolution images
Autori
Romic, Kresimir ; Galic, Irena ; Leventic, Hrvoje ; Habijan, Marija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 International Symposium ELMAR
/ - Zadar : Institute of Electrical and Electronics Engineers (IEEE), 2020, 133-137
ISBN
978-1-7281-5973-7
Skup
62nd International Symposium ELMAR-2020
Mjesto i datum
Zadar, Hrvatska, 14.09.2020. - 15.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Visually impaired, SVM, Crosswalk detection, Column-level decision
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek