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

Conference object English OPEN
Brouard , Olivier ; Delannay , Fabrice ; Ricordel , Vincent ; Barba , Dominique (2007)
  • Publisher: HAL CCSD
  • Subject: Robust Motion Segmentation | [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing | Spatio- Temporal Tubes | Multi-Resolution Motion Estimation | Global Mo-tion Estimation | Global Motion Estimation | [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing | Spatio-Temporal Tubes
    acm: ComputingMethodologies_COMPUTERGRAPHICS | ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
4 pages; International audience; 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, we propose a method which estimates the global motion of a High Definition (HD) video shot and then segments 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 motion, the remaining motion vectors are used to achieve the motion segmentation and extract the video objects.
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