An epistemic utility based set-valued multiple-target tracker

• Published in: [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers pp. 307 - 311 vol.1
• Main Authors: Stirling, W.C., Thompson, J.B., Morrell, D.R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE Comput. Soc. Press 1991
• Subjects: Costs; Degradation; Target tracking; Trajectory; Utility theory; Vehicles
• ISBN: 9780818624704; 0818624701
• ISSN: 1058-6393; 2576-2303
• DOI: 10.1109/ACSSC.1991.186462

The performance of a multiple target tracking method should degrade gracefully as the conditions of the collection become less favorable to optimal operation. The authors develop a multiple target trajectory-data association decision rule that is expressed in terms of two probabilities: one governing the informational value of the association hypothesis, and one governing the subjective belief, or credal, probability of the association hypothesis. A criterion of serious possibility is defined, and all trajectory-data associations that are seriously possible are retained; it is not necessary to resolve all conflicting hypotheses before processing more data. By stressing the avoidance, rather than the explicit minimization, of error, a decision rule is obtained for trajectory-data association that does not require the resolution of all conflicting hypotheses when the database does not contain sufficient information to do so reliably.< >