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Summary: ROBUST AND FAST GLOBAL MOTION ESTIMATION
ORIENTED TO VIDEO OBJECT SEGMENTATION
Bin Qi Aishy Amer
Electrical and Computer Engineering, Concordia University
MontrŽeal, QuŽebec, Canada
{b qi, amer}@ece.concordia.ca
ABSTRACT
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 first
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.
1. INTRODUCTION
The term global motion (GM) is used in this paper to de-
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