Pregled bibliografske jedinice broj: 407874
Towards automatic assessment and mapping of traffic infrastructure by adding vision capabilities to a geoinformation inventory
Towards automatic assessment and mapping of traffic infrastructure by adding vision capabilities to a geoinformation inventory // Proceedings of MIPRO 2009 / Nikola Bogunović i Slobodan Ribarić (ur.).
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009. str. 276-281 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 407874 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards automatic assessment and mapping of traffic infrastructure by adding vision capabilities to a geoinformation inventory
Autori
Šegvić, Siniša ; Brkić, Karla ; Kalafatić, Zoran ; Stanisavljević, Vladimir ; Budimir, Damir ; Dadić, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2009
/ Nikola Bogunović i Slobodan Ribarić - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009, 276-281
ISBN
978-953-233-045-8
Skup
32nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2009
Mjesto i datum
Opatija, Hrvatska, 25.05.2009. - 29.05.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
geoinformation inventory; computer vision; mapping and assessment of traffic infrastructure
Sažetak
We consider geoinformation inventory systems containing locations and types of traffic signs and road surface markings in a given geographical region. Such systems allow a human operator to assess the current state of the traffic infrastructure by comparing a recent georeferenced video with the prescribed state stored in the inventory. We are concerned with automating this assessment procedure (as well as the initial creation of the inventory) by designing appropriate computer vision modules. In this paper, we briefly present our research project, provide a review of suitable computer vision techniques, and present in more details two techniques which proved most promising in preliminary experiments. The two presented techniques are traffic sign detection by boosted Haar wavelets, and enhancement of surface markings by applying steerable filters to suitably preprocessed images. The experiments have been performed on individual real images acquired from a moving vehicle by a single perspective camera. The obtained results are provided and discussed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
193-0000000-3450 - Upravljanje prometnim tokovima u urbanim područjima
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Damir Budimir
(autor)
Siniša Šegvić
(autor)
Vladimir Stanisavljević
(autor)
Karla Brkić
(autor)
Zoran Kalafatić
(autor)
Ivan Dadić
(autor)