Pregled bibliografske jedinice broj: 837768
Temporal Attention Control System for Multiple Objects Tracking
Temporal Attention Control System for Multiple Objects Tracking // The 31st Chinese Control Conference (CCC'2012)
Hefei, 2012. str. 4836-4841 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 837768 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Temporal Attention Control System for Multiple Objects Tracking
Autori
Zang, Xuelian ; Brščić, Dražen ; Wang, Wei ; Kühnlenz, Kolja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The 31st Chinese Control Conference (CCC'2012)
/ - Hefei, 2012, 4836-4841
Skup
The 31st Chinese Control Conference (CCC'2012)
Mjesto i datum
Hefei, Kina, 25.07.2012. - 27.07.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
attention control ; Kalman filter ; multiple objects tracking
Sažetak
An important ability for mobile robots is to process multiple tasks in complex environments. Since the sensor resources on a robot are limited, it is necessary to distribute the sensors attention to different tasks along the time scale. This paper proposes a temporal attention control method which aims at detecting multiple objects and estimating their poses with a single actuated camera. The proposed method is based on three criteria which are partially inspired by human behavior: (i) minimization of the overall object poses perception uncertainty and minimization of the variance of the perception uncertainty of different objects ; (ii) minimization of the camera movements for completing the tasks ; (iii) maximization of the number of objects in the cameras field of view.The proposed approach use Kalman filters to estimate object poses and to determine the perception uncertainty. The method was evaluated with both simulation and experiment on actual robot. The results show that the proposed approach is able to switch the camera’s attention according to the objects poses and movements efficiently with a low frequency of the camera movements.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Temeljne tehničke znanosti