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An interacting multipattern data association (IMPDA) tracking algorithm
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DOI：10.1016/S0165-1684(98)00134-0.png)
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Abstract
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This paper presents a novel approach for tracking multiple targets using multiple patterns extracted from measurement sequences. The introduction of patterns leads to a new paradigm of developing high-performance algorithms. A powerful data association algorithm-interacting multipattern data association (IMPDA) is developed. A Markov chain controls the switching behavior of multipatterns, which allows an interacting operation of multipatterns. The IMPDA algorithm also has 'built-in' multiple models which can track both maneuvering and nonmaneuvering targets equally well. (C) 1998 Elsevier Science B.V. All rights reserved.
Keywords:
IMPDA algorithm
multiple targets
multiple patterns
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