A Maneuvering Multi-target Tracking Algorithm Based on AGMM-CBMeMBer
2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)(2019)
Abstract
Aiming at the problem that traditional tracking algorithms can not effectively track maneuvering multi-target in clutter environment, this paper proposes a new maneuvering multi-target tracking algorithm based on adaptive grid method and Cardinality Balanced Multi-Target Multi-Bernoulli (CBMEMBer) filtering algorithm. The adaptive adjustment of the model set is realized by introducing the adaptive grid method. Therefore, the proposed algorithm can adapt to the change of the moving state of the maneuvering target. The simulation results show that, compared with the fixed structure multi-model tracking algorithm, the proposed algorithm has better tracking performance for maneuvering multi-target, and its cost-effectiveness ratio is higher. It has a wide application prospect in the field of multi-target tracking.
MoreTranslated text
Key words
Multi-target tracking,adaptive grid,Cardinality balanced,multi-target multi-Bernoulli,OSPA
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined