In this paper a fast algorithm for motion estimation is presented. It models the temporal averaging of a group of frames as the spatial filtering of the reference one with a suitable Dirac comb function. This equality allows us to estimate a constant affine motion by comparing the phases of the FFT. Experimental results show that the proposed algorithm outperforms the available fast motion estimation techniques in terms of both quality and computational effort.
Fast Motion Estimation using Spatio Temporal Filtering / Bruni, Vittoria; DE CANDITIIS, D; Vitulano, D.. - STAMPA. - 4141/2006:(2006), pp. 105-110. (Intervento presentato al convegno ICIAR 2006 tenutosi a Povoa de Varzim - Portugal nel 2006) [10.1007/11867586_69].
Fast Motion Estimation using Spatio Temporal Filtering
BRUNI, VITTORIA;VITULANO D.
2006
Abstract
In this paper a fast algorithm for motion estimation is presented. It models the temporal averaging of a group of frames as the spatial filtering of the reference one with a suitable Dirac comb function. This equality allows us to estimate a constant affine motion by comparing the phases of the FFT. Experimental results show that the proposed algorithm outperforms the available fast motion estimation techniques in terms of both quality and computational effort.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
