A new algorithm for the assignment problem: an alternative to the Hungarian method
Computers and Operations Research
Fuzzy logic approach to multisensor data association
Mathematics and Computers in Simulation
Tracking 2-D rigid targets with invariant constraints
Information Sciences—Informatics and Computer Science: An International Journal
Mathematics and Computers in Simulation
Hybrid fuzzy probabilistic data association filter and joint probabilistic data association filter
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
n-Tokyoites' loop-line commuter problem
Discrete Mathematics
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Rao-Blackwellized particle filter for multiple target tracking
Information Fusion
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Some assignment problems arising from multiple target tracking
Mathematical and Computer Modelling: An International Journal
Analysis and approximation of performance bound for two-observer bearings-only tracking
Information Sciences: an International Journal
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In this paper, we propose two measurements-to-tracks data assignment algorithms for multi-target tracking. The first one is operated in the form of a matrix and is actually a modified version of the Simplex method. The second one is based upon the idea of a basic cell set and a rotational sort method, which not only inherits the advantages of the first one, but also reduces the computational burden. Numerical simulations show that the tracking performance of the two proposed data assignment algorithms is almost identical, and the second one is preferred when a large number of targets are tracked.