ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES

Olivier Brouard
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Fabrice Delannay
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Vincent Ricordel
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Dominique Barba
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Résumé

Motion segmentation methods are effective for tracking video objects. However, objects segmentation methods based on motion need to know the global motion of the video in order to back-compensate it before computing the segmentation. In this paper 1 , we propose a method which estimates the global motion of a High Definition (HD) video shot and then seg-ments it using the remaining motion information. First, we develop a fast method for multi-resolution motion estimation based on spatio-temporal tubes. So we get a homogeneous motion vectors field (one vector per tube). From this motion field, we use a robust approach to estimate the parameters of the affine model that characterizes the global motion of the shot. After back-compensation of the video shot global mo-tion, the remaining motion vectors are used to achieve the motion segmentation and extract the video objects.
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Dates et versions

hal-01110384 , version 1 (28-01-2015)

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  • HAL Id : hal-01110384 , version 1

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Olivier Brouard, Fabrice Delannay, Vincent Ricordel, Dominique Barba. ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES USING A FAST MULTI-RESOLUTION MOTION ESTIMATION BASED ON SPATIO-TEMPORAL TUBES. Picture Coding Symposium (PCS), Nov 2007, Lisboa, Portugal. ⟨hal-01110384⟩
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