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- W2013111085 abstract "Group moving targets are number of targets independently moving in a physical space but keeping their relative order orpattern invariant. The up to date state-of-the-art multi-target tracking (MTT) data association methods (GNN,JPDA,MHT)are easily fail on group targets tracking problems, since the tracker-to-observation ambiguity cannot be resolved if onlyusing the individual track to observation information. A hypergraph G is represented by G = {V,E}, where V is a set ofelements called nodes or vertices, E is a set of non-empty subsets containing d-tuple of vertices called hyperedges. It canbe used as a new mathematic tool to represent a group of moving targets if we let each target be a vertex and a d-targetsubset be an hyperedge. Under this representation, this paper reformulates the traditional MTT data association problem asan hypergraph matching one between the hypergraphs formed from tracks and observations, and shows that the traditionalapproach (only uses the vertex-to-vertex information) which is a special case under the proposed framework. In additionto the vertex-to-vertex information, since the hyperedge-to-hyperegde information is also used in building the assignmentmatrix, the hypergraph matching based algorithms give better performance than that from the traditional methods in grouptarget tracking problems. We demonstrate the declaration from simulations as well as video based geotracking examples." @default.
- W2013111085 created "2016-06-24" @default.
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- W2013111085 date "2011-09-08" @default.
- W2013111085 modified "2023-09-26" @default.
- W2013111085 title "Tracking group targets using hypergraph matching in data association" @default.
- W2013111085 doi "https://doi.org/10.1117/12.897202" @default.
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