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Probability Hypothesis Density filter versus Multiple Hypothesis Tracking

机译：概率假设密度过滤器与多重假设跟踪

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Kusha Panta A; Ba-ngu Vo A; Sumeetpal Singh A; Arnaud Doucet B;
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年度 2008
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1. Probability Hypothesis Density Filter Based on Strong Tracking MIE for Multiple Maneuvering Target Tracking [J] . Jin-Long Yang, Hong-Bing Ji, Zhen-Hua Fan International Journal of Control, Automation, and Systems . 2013,第2期

机译：基于强跟踪MIE的概率假设密度滤波器用于多机动目标跟踪
2. Probability hypothesis density filter based on strong tracking MIE for multiple maneuvering target tracking [J] . Jin-Long Yang, Hong-Bing Ji, Zhen-Hua Fan International Journal of Control, Automation and Systems . 2013,第2期

机译：基于强跟踪MIE的概率假设密度滤波用于多机动目标跟踪
3. Probability hypothesis density filter with adaptive parameter estimation for tracking multiple maneuvering targets [J] . Yang Jinlong, Yang Le, Yuan Yunhao, 中国航空学报（英文版） . 2016,第006期

机译：具有自适应参数估计的概率假设密度滤波器可跟踪多个机动目标
4. Probability Hypothesis Density filter versus Multiple Hypothesis Tracking [C] . Kusha Panta, Ba-Ngu Vo, Sumeetpal Singh, Conference on Signal Processing, Sensor Fusion, and Target Recognition XIII; 20040413-20040415; Orlando,FL; US . 2004

机译：概率假设密度过滤器与多重假设跟踪
5. A Comparison of the Probability Hypothesis Density Filter and the Multiple Hypothesis Tracker for Tracking Targets of Multiple Types [D] . Brodovsky, James A. 2019

机译：概率假设密度滤波器和多假假设跟踪器的比较跟踪多种类型的目标
6. Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking [O] . Feng Yang, Yongqi Wang, Hao Chen, 2016

机译：多目标跟踪的自适应协同高斯混合概率假设密度滤波器
7. Probability hypothesis density filter versus multiple hypothesis tracking [O] . Panta K, Vo BN, Singh S, 2004

机译：概率假设密度过滤器与多重假设跟踪

Probability Hypothesis Density filter versus Multiple Hypothesis Tracking

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