VIDEO OBJECT SEGMENTATION
ROBUST AND FAST GLOBAL MOTION ESTIMATION ORIENTED TO VIDEO OBJECT SEGMENTATION
Most global motion estimation (GME) methods are oriented to video coding while video object segmentation either as- sume no global motion (GM) or directly adopt a coding- oriented method to compensate GM. This paper proposes a hierarchical differential GME oriented to object segmenta- tion. A combination of 3-step search and motion vector pre- diction is proposed for initial estimate. Two robust estima- tors are also proposed: to estimate global motion in the rst frame and to reject outliers using object information. Sub- jective and objective results show that the proposed method is more robust and faster than the reference methods.