Description: Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc
used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking
by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same
source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The
theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with
low calculation load added and higher precision 。
- [1] - A student interview questions (how to ac
- [JPDA] - JPDA implementation process
- [danielspie] - multitarget tracking, an estimation appr
- [meanshifttracking] - Based on mean-shift of the dynamic targe
- [5] - Effect of Track-Edge Medium Noise on Hig
- [JPDA] - JPDA data association algorithm using a
- [shujuguanlian] - Data association is one of the key techn
- [standard_jpda] - JPDA
- [JPDAF] - joint probability data association
- [jidasiran] - matlab maximum likelihood estimation met
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多传感器多目标跟踪的JPDA算法.pdf
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