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The problem of simultaneous trajectography of several dynamical objects isformulated as an optimization problem. The available observations consist in aseries of photographs showing undiscriminated objects. The goal is to find theobject initial states so that the resulting trajectories match as well aspossible the set of observations. An assignment problem is solved at eachobservation date by the Hungarian method, yielding a deviation cost between thesimulated trajectories and the measurements. A fitness function summing thedeviation costs is minimized by a particle swarm algorithm. The method isillustrated on a space orbitography application.

Multiple Object Trajectography Using Particle Swarm Optimization Combined to Hungarian Method