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2001
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Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation

9 years 8 months ago
Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation
In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the information provided by a depth segments map, produced by stereo analysis methods and incorporation of a segmentation algorithm. Then a Canny edge detector is applied to the depth region and produces an edge map. The edge map is used for tube estimation inside which the GVF field evolves. After generation of the GVF field an active contour is unsupervisedly initialized onto the outer bound of the tube. Finally a greedy approach is adopted and the active contour, guided by the GVF field, extracts the VOP. Experimental results on real life stereoscopic video sequences indicate the efficiency of the proposed scheme.
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias, Klimis S. Ntalianis
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