Abstract
In this paper, we propose a content-based motion retrieval (CBMR) algorithm, where many-to-many matching method, weighted graph matching, is employed for comparison between two motions. Our novel points can be described as: (1) A selection approach of representative frames (RF) is presented, in this work, each motion is represented by a set of sequence frames, representative frames are first selected from the motions based on Fuzzy clustering and the corresponding initial weights are provided. (2) The RF-based weighted graph model (RF-WGM) is constructed, and a revised KM (Kuhn---Munkres) algorithm is used to solve maximum matching problem of weighted graph. The RF-WGM matching result is used to measure the similarity between two motions. Experimental results and comparison with existing methods show the effectiveness of the proposed algorithm.
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