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1997
IEEE

An 8x8-Block Based Motion Estimation Using Kalman Filter

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An 8x8-Block Based Motion Estimation Using Kalman Filter
It is now quite common in the pel-recursive approaches for motion estimation, to find applications of the Kalman filtering technique both in time and frequency domains. In the block-based approach, very few approaches are available of this technique to refine the estimation of motion vectors resulting from fast algorithms such as the three step on a 16x16-block basis. This paper proposes an 8x8-block based motion estimation which uses the Kalman filtering technique to improve the motion estimates resulting from both the three step algorithm and the 16x16-block based Kalman application of [22]. The statespace representation uses a first order auto-regressive model. Comparative results obtained for different classes of video sequences are presented.
V. Ruiz, Vassilis E. Fotopoulos, Athanassios N. Sk
Added 26 Oct 2009
Updated 09 Mar 2010
Type Conference
Year 1997
Where ICIP
Authors V. Ruiz, Vassilis E. Fotopoulos, Athanassios N. Skodras, A. G. Constantinide
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