Video Object Segmentation Using Graphs

Authors:
Salvador B. Mármol;Nicole M. Artner;Adrian Ion;Walter G. Kropatsch;Csaba Beleznai
Affiliations:
PRIP, Vienna University of Technology, Austria and Andalusian Research Group FQM-296: "Computational Topology and Applied Mathematics", Spain;Austrian Research Centers GmbH - ARC, Smart Systems Division, Vienna, Austria;PRIP, Vienna University of Technology, Austria;PRIP, Vienna University of Technology, Austria;Austrian Research Centers GmbH - ARC, Smart Systems Division, Vienna, Austria
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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Abstract

This paper presents an approach for video object segmentation. The main idea of our approach is to generate a planar, triangulated, and labeled graph that describes the scene, foreground objects and background. With the help of the Kanade-Lucas-Tomasi Tracker, corner points are tracked within a video sequence. Then the movement of the points adaptively generates a planar triangulation. The triangles are labeled as rigid, articulated, and separatingdepending on the variation of the length of their edges.