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The accuracy of observation model to represent of natural object is critical to performing robust visual tracking in complex scenarios. In this paper, we propose an object observation model by considering three integrated feature components, i.e. the template component depicting the object structure in every time instant; the contour component characterizing the object shape evolution with local deformation,...
This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic algorithm. Single feature describes image content only from one point of view, which has a certain one-sided. Fusing multi-feature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed,...
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