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Pregled bibliografske jedinice broj: 485506

A computer vision assisted geoinformation inventory for traffic infrastructure


Šegvić, Siniša; Brkić, Karla; Kalafatić, Zoran; Stanisavljević, Vladimir; Ševrović, Marko; Budimir, Damir; Dadić, Ivan
A computer vision assisted geoinformation inventory for traffic infrastructure // Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems / Yibing, Wang (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 66-73 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 485506 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A computer vision assisted geoinformation inventory for traffic infrastructure

Autori
Šegvić, Siniša ; Brkić, Karla ; Kalafatić, Zoran ; Stanisavljević, Vladimir ; Ševrović, Marko ; Budimir, Damir ; Dadić, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems / Yibing, Wang - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2010, 66-73

ISBN
978-1-4244-7658-9

Skup
International Conference on Intelligent Transportation Systems

Mjesto i datum
Funchal, Portugal, 19.09.2010. - 22.09.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer vision ; geoinformation inventories

Sažetak
Geoinformation inventories are often employed as a tool for providing a comprehensive view onto the required state of traffic control infrastructure. They are especially important in road safety inspection where, in combination with georeferenced video, they enable repeatable off- line and off-site assessments as an attractive aternative to classic on-site inspection. Nevertheless, manual assessments are tedious and time-consuming even when performed off-line, and this seriously impairs the potential of the geoinformation inventory concept. This paper therefore researches a hypothesis that suitable georeferenced video processing techniques would allow reliable automation of the following operations: i) creation of the traffic inventory from the given video, and ii) assessing the video against the state in the inventory. Prominent computer vision approaches have been rigorously and systematically evaluated and the obtained results are presented. The results seem to support the hypothesis, although further work is required for a more definite answer.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tehnologija prometa i transport



POVEZANOST RADA


Projekti:
MZO-ZP-036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
193-0000000-3450 - Upravljanje prometnim tokovima u urbanim područjima

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut prometa i veza, Zagreb


Citiraj ovu publikaciju:

Šegvić, Siniša; Brkić, Karla; Kalafatić, Zoran; Stanisavljević, Vladimir; Ševrović, Marko; Budimir, Damir; Dadić, Ivan
A computer vision assisted geoinformation inventory for traffic infrastructure // Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems / Yibing, Wang (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 66-73 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Šegvić, S., Brkić, K., Kalafatić, Z., Stanisavljević, V., Ševrović, M., Budimir, D. & Dadić, I. (2010) A computer vision assisted geoinformation inventory for traffic infrastructure. U: Yibing, W. (ur.)Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems.
@article{article, author = {\v{S}egvi\'{c}, Sini\v{s}a and Brki\'{c}, Karla and Kalafati\'{c}, Zoran and Stanisavljevi\'{c}, Vladimir and \v{S}evrovi\'{c}, Marko and Budimir, Damir and Dadi\'{c}, Ivan}, editor = {Yibing, W.}, year = {2010}, pages = {66-73}, keywords = {computer vision, geoinformation inventories}, isbn = {978-1-4244-7658-9}, title = {A computer vision assisted geoinformation inventory for traffic infrastructure}, keyword = {computer vision, geoinformation inventories}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Funchal, Portugal} }
@article{article, author = {\v{S}egvi\'{c}, Sini\v{s}a and Brki\'{c}, Karla and Kalafati\'{c}, Zoran and Stanisavljevi\'{c}, Vladimir and \v{S}evrovi\'{c}, Marko and Budimir, Damir and Dadi\'{c}, Ivan}, editor = {Yibing, W.}, year = {2010}, pages = {66-73}, keywords = {computer vision, geoinformation inventories}, isbn = {978-1-4244-7658-9}, title = {A computer vision assisted geoinformation inventory for traffic infrastructure}, keyword = {computer vision, geoinformation inventories}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Funchal, Portugal} }




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