Generalized Data Association For Multitarget Tracking In Clutter
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The objective of this chapter is to present and compare diļ¬erent fusion rules which can be used for Generalized Data Association (GDA) for multitarget trackin
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Pages: 8
Pages: 8
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The main objective of this paper is to present, to apply, and to test the effectiveness of the new method, based on belief functions, proposed by Dezert et al.
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Pages: 8
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This paper presents a comparative analysis of performances of two types of multi-target tracking algorithms: 1) the Joint Probabilistic Data Association Filter
Language: en
Pages: 54
Pages: 54
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Abstract: "Simple tracking algorithms based upon nearest neighbor filtering do not correctly consider measurement origin uncertainty and, therefore, fail to per