Pregled bibliografske jedinice broj: 201785
Mobile robots tracking using computer vision
Mobile robots tracking using computer vision // Proceedings of 13th International Conference on Electrical Drives and Power Electronics (EDPE 2005) & 2nd Joint Croatia-Slovakia Conference / Jakopović, Željko (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2005. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 201785 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mobile robots tracking using computer vision
Autori
Klančar, Gregor ; Brezak, Mišel ; Matko, Drago ; Petrović, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 13th International Conference on Electrical Drives and Power Electronics (EDPE 2005) & 2nd Joint Croatia-Slovakia Conference
/ Jakopović, Željko - Zagreb : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2005, 1-6
ISBN
953-6037-43-2
Skup
International Conference on Electrical Drives and Power Electronics (13 ; 2005)
Mjesto i datum
Dubrovnik, Hrvatska, 26.09.2005. - 28.09.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
computer vision; mobile robots; Bayer CFA; pixel classification; image segmentation
Sažetak
In the paper a global vision scheme applied to a fast dynamic game - robot soccer is presented. The process of robots positions and orientations estimation is divided into two steps. In the first step, the Bayer format image is acquired from camera, then the RGB image is interpolated and pixels are classified into a finite number of classes. At the same time, a segmentation algorithm is used to find corresponding regions belonging to one of the classes. In the second step, all the regions are examined. Selection of the ones that are parts of the observed object is made by means of simple logic procedures. A data filtering is used to improve identified noisy data. The novelty is focused on the optimization of the image acquisition algorithm as well as the processing time needed to finish the estimation of possible object positions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti