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.

• Type: Conference
• Year: 1997
• Where: ICIP
• Authors: V. Ruiz, Vassilis E. Fotopoulos, Athanassios N. Skodras, A. G. Constantinide
• Keywords: 16x16-block Based Kalman, ICIP 1997, Image Processing, Kalman Filtering Technique, Motion Estimation