| 模糊自适应概率多假设算法研究 |
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| 引用本文： | 周妮娜,张全都.模糊自适应概率多假设算法研究[J].新技术新工艺,2009(10):20-21. |
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| 作者姓名： | 周妮娜 张全都 |
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| 作者单位： | [1]宝鸡文理学院电气系,陕西宝鸡721007 [2]西北工业大学自动化学院,陕西西安710072 |
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| 基金项目： | 宝鸡市科技进步计划资助项目(08KG02-3)宝鸡文理学院重点资助项目 |
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| 摘 要： | 将概率多假设（PMHT）算法引入目标跟踪，针对PMHT算法的迭代、批处理特性，采用模糊专家规则系统，提出了模糊自适应概率多假设跟踪（FA—PMHT）算法。仿真结果表明，算法在跟踪精度上有明显提高，并且满足实时性要求。
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| 关 键 词： | 概率多假设算法 目标跟踪 模糊自适应 |
Research on Fuzzy Adaptive Probabilistic Multi-hypothesis Tracking Algorithm |
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| Affiliation: | ZHOU Nina,ZHANG Quandu (1. Department of Electronics ＆ Electric Engineering, Baoji University of Art and Science, Baoji 721007, China 2. Department of Automation and Control, Northwestern Polytechnical Univ. ,Xi＇an 710072 ,China) |
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| Abstract: | In this paper, the probabilistic multi-hypothesis tracker（PMHT）algorithm is applied to multi-target tracking technology. According to properties of iterating and batch processing in PMHT algorithm,this paper applies a set of fuzzy rules system, and carries out a fuzzy adaptive probabilistic multi-hypothesis tracking（FA-PMHT）algorithm. Finally the computer simulation results show that FA-PMHT algorithm is superior in tracking precision and can meet the requirements on real-time. |
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| Keywords: | PMHT Target tracking Fuzzy adaptive |
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