Pregled bibliografske jedinice broj: 697093
Direction-only tracking of moving objects on the unit sphere via probabilistic data association
Direction-only tracking of moving objects on the unit sphere via probabilistic data association // 17th International Conference on Information Fusion (FUSION), Special Session on Directional Estimation
Salamanca, 2014. str. 1-7 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Direction-only tracking of moving objects on the unit sphere via probabilistic data association
Autori
Marković, Ivan ; Bukal, Mario ; Ćesić, Josip ; Petrović Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
17th International Conference on Information Fusion (FUSION), Special Session on Directional Estimation
/ - Salamanca, 2014, 1-7
Skup
17th International Conference on Information Fusion
Mjesto i datum
Salamanca, Španjolska, 07.07.2014. - 10.07.2014
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
von Mises-Fisher filter; joint probabilistic data association; multi-object tracking
Sažetak
Directional data can emerge in many scientific disciplines due to the nature of the observed phenomena or the working principles of a sensor. Such direction-only sensors can be used in applications with the aim of tracking multiple moving objects. One of the reasons why multiple moving object tracking can be challenging is because of the need to deal with the problem of pairing sensors measurements with tracked objects in the presence of clutter (the data association problem). In this paper we propose to approach the problem of multiple object tracking in clutter with direction-only data by setting it on the unit sphere, thus tracking the objects with a Bayesian estimator based on the von Mises-Fisher distribution and probabilistic data association. To achieve this goal we derive the probabilistic data association (PDA) filter and the joint probabilistic data association (JPDA) filter for the Bayesian von Mises-Fisher estimator on the unit sphere. The final PDA and JPDA filter equations are derived with respect to the Kullback-Leibler distance by preserving the first moment of the spherical distribution. The performance of the proposed approach is demonstrated in experiments with synthetic data where moving object trajectories were simulated and noisy observations obtained along with the clutter simulated as a Poisson process on the unit sphere.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
036-0363078-3018 - Upravljanje mobilnim robotima i vozilima u nepoznatim i dinamičkim okruženjima (Petrović, Ivan, MZO ) ( CroRIS)
ACROSS
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb