Abstract

This study proposes a new approach to perform motion estimation on a set of feature points via elastic graph matching. The approach starts by constructing a labeled graph on a set of feature points in the first image of a given sequence, and then continues to sequentially match the graph with the remaining images in this sequence. The matching is based on a similarity function that depends on image brightness and motion characteristics on one side, and on geometric distortion on the other side. The main advantage of the proposed approach is that it preserves high-level image characteristics outlined by the geometrical structure of moving objects and their relative positions in space and time, while it simultaneously accounts for both low-level measurements (motion and intensity).

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