Ambiguities in evaluating performance of multiple target tracking algorithms
Oliver E. Drummond, Barry E. Fridling · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
Evaluating performance of tracking algorithms is straightforward for a simulation with a single target and one computed track. Performance evaluation with multiple targets, on the other hand, is complex due to ambiguities that create confusion about which target goes with a track. The ambiguities are caused by misassociations or unresolved closely spaced objects. Various considerations in choosing a methodology for performance evaluation to handle these ambiguities are discussed. An approach to assigning tracks to targets is described that takes these considerations into account.