Fuzzy Graph Tracking
نویسندگان
چکیده
This paper is concerned with the problem of tracking groups of extended features in image sequences. A graph based image structure tracker is presented. The tracking is based on matching fuzzy features and feature relationships. Edges are extracted from subsequent frames. Fuzzy relational graphs are built from each image. The nodes of these graphs represent edge segments while the arcs code the relations among these segments. For each segment in one frame a set of potential assignments in the next frame is determined. Out of this assignment pool the global correspondence with highest similarity of features and feature relationships is calculated. Tracking is reduced to nding sets of mutually compatible nodes in graphs constructed from subsequent frames. The method is able to give guidelines for the correction of segmentation errors in particular frames.
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