Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Object-based global motion estimation using a combined feature matching and optical flow approach

: Smolic, A.; Ohm, J.-R.; Sikora, T.

Beckman Institute, Urbana/Ill.:
VLBV 98 : October 8 - 9, 1998, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign
Urbana, Ill., 1998
International Workshop on Very Low Bitrate Video Coding (VLBV) <5, 1998, Urbana/Ill.>
Fraunhofer HHI ()
feature extraction; image matching; image sequences; motion compensation; motion estimation; parameter estimation; video coding; object-based global motion estimation; feature matching; optical flow; video objects; affine motion parameter estimation; parabolic model; hierarchical strategy; translation; higher order motion parameters; mpeg-4 sprite coding; global motion compensation

This paper presents a new method for global motion estimation of video objects. It combines the advantages of feature matching and optical flow techniques. The proposed method is suitable for the estimation of affine motion parameters as well as for higher order motion models like the parabolic model. A hierarchical strategy is applied for the estimation, first translation then affine motion and finally higher order motion parameters. The presented results indicate that the proposed technique is a suitable approach for global motion estimation, which can be used for applications such as MPEG-4 sprite coding or global motion compensation. We also show that the efficiency of global motion estimation can be significantly increased if a higher order motion model is applied.