Shozo Mori

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– This paper describes a generalization of Murty's algorithm generating ranked solutions for classical assignment problems. The generalization extends the domain to a general class of zero-one integer linear programming problems that can be used to solve multi-frame data association problems for track-oriented multiple hypothesis tracking (MHT). The(More)
– This paper describes a new approach to tracking multiple groups of targets using the concept of the generalized Janossy measure density function. Each group is modeled by a group state that consists of a group common state and an unknown number of individual target component states. In order to represent a probability distribution of such a group state,(More)
— This paper presents numerical performance evaluation of various algorithms that have been developed for track-to-track fusion and association problems, through a long history of the distributed multiple target tracking algorithm development. We will use a general linear-Gaussian standard model both for the target state and the sensor observation models.(More)