Spatio-temporal segmentation based on motion and static segmentation
Fréderic Dufaux, F. Moscheni, Andrew Lippman · Proceedings - International Conference on Image Processing · 2002
The problem of segmenting an image sequence in terms of regions characterized by a coherent motion is among the most challenging in image sequence analysis. This paper proposes a new technique which sequentially refines the segmentation and the motion estimation by combining static segmentation and motion information. The motion is robustly computed by a global estimation which remove the camera motion, followed by a local estimation using a matching technique and a robust estimator. Simulation results show the efficiency of the proposed technique.