论文信息 - A unified approach to data association in multitarget tracking

A unified approach to data association in multitarget tracking

Abstract A unified framework is proposed to provide a comprehensive understanding of the problem of data association in multitarget tracking. Under this framework, a systematic scheme is developed for generating the data association hypotheses in the target-oriented, measurement-oriented, and track-oriented approaches. Since there are many data association hypotheses with identical likelihoods in the measurement-oriented and track-oriented approaches, two specialized algorithms are developed to efficiently generate the data association hypotheses in the two approaches by adapting the depth-first search (DFS) algorithm developed earlier in the target-oriented case.

Nirmal K. Bose | B. Zhou

[1] Y. Bar-Shalom,et al. Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[2] Robert J. Fitzgerald,et al. Development of Practical PDA Logic for Multitarget Tracking by Microprocessor , 1986, 1986 American Control Conference.

[3] Yaakov Bar-Shalom,et al. Sonar tracking of multiple targets using joint probabilistic data association , 1983 .

[4] N. K. Bose,et al. Multitarget tracking in clutter: fast algorithms for data association , 1993 .

[5] T. Kurien,et al. Report-to-target assignment in multisensor multitarget tracking , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[6] Kim B. Housewright,et al. Derivation and evaluation of improved tracking filter for use in dense multitarget environments , 1974, IEEE Trans. Inf. Theory.

[7] Robert B. Washburn,et al. Multiobject Tracking using Passive Sensors , 1985 .

[8] R. Singer. Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.