Title :
Moving object extraction with a localized pyramid
Author :
Huart, Jérémy ; Foret, Guillaume ; Bertolino, Pascal
Author_Institution :
Lab. des Images et des Signaux, Saint Martin d´´Heres, France
Abstract :
We present a tracking initialization method that combines a rough extraction of moving objects and a refined segmentation of their contours. The extraction of moving objects is obtained with a classical global motion compensation. To obtain accurate contours of the objects, a spatial segmentation is performed with an original localized graph pyramid that focuses the segmentation process either on the object areas or on their borders.
Keywords :
feature extraction; image segmentation; motion compensation; tracking; classical global motion compensation; localized graph pyramid; localized pyramid; moving object extraction; refined segmentation; tracking initialization method; Cameras; Color; Focusing; Image segmentation; Motion compensation; Pattern recognition; Pixel; Shape; Spatial resolution; Strips;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333889
