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Proceedings Paper

Track-to-track association for tracks with features and attributes
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Paper Abstract

The problem of track-to-track association - a prerequisite for fusion of tracks - has been considered in the literature only for tracks described by kinematic states. The association of tracks from a common target can also be solved using additional feature or attribute variables which are associated with those tracks. We extend the existing results to the situation where track association is done using feature variables, which are continuous valued, as well as target classification information or attributes, which are discrete valued. The sufficient statistic for the optimal association test (in the Neyman-Pearson sense) based on discrete-valued target classification information observables (attributes) is derived and its relationship with the class probability vector is discussed. Based on this, "attribute gates" are presented, which play a similar role to the kinematic gates in track-to-track association.

Paper Details

Date Published: 15 September 2005
PDF: 12 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131A (15 September 2005); doi: 10.1117/12.614967
Show Author Affiliations
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Huimin Chen, Univ. of New Orleans (United States)

Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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