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- W2348953096 abstract "The interacting multiple model (IMM) algorithm is a popular algorithm for Multi-target Tracking.But the performance of IMM algorithm will be greatly reduced under the dense cluttered environment. Joint probabilistic data association (JPDA) is usually used to solve the problem of tracking multiple targets under the environment of heavy clutter. Therefore,we can combine two algorithms to produce a new IMM-JPDA algorithm.While it accesses to the advantages of the previous two algorithms,the IMM-JPDA algorithm inherits their weakness which is a huge amount of calculation. In this paper,a sub-events IMM-JPDA algorithm is proposed and a modified one-point initialization technique is employed by the new algorithm. It can be seen that the proposed algorithm significantly reduces the computational burden providing the similar performance with the original IMM-JPDA algorithm by comparing the Simulation results between the proposed one and the original one." @default.
- W2348953096 created "2016-06-24" @default.
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- W2348953096 date "2010-01-01" @default.
- W2348953096 modified "2023-09-27" @default.
- W2348953096 title "A Improved IMM-JPDA Algorithm for Multi-target Tracking" @default.
- W2348953096 hasPublicationYear "2010" @default.
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