General Science and Philosophy

   

Generalized Data Association for Multitarget Tracking in Clutter

Authors: A. Tchamova, T. Semerdjiev, P. Konstantinova, Jean Dezert

The objective of this chapter is to present an approach for target tracking in cluttered environment, which incorporates the advanced concept of generalized data (kinematics and attribute) association (GDA) to improve track maintenance performance in complicated situations (closely spaced and/or crossing targets), when kinematics data are insufficient for correct decision making. It uses Global Nearest Neighbour-like approach and Munkres algorithm to resolve the generalized association matrix.

Comments: 23 Pages.

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Submission history

[v1] 2016-08-24 02:08:08

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