1) particle probability hypothesis density filter
粒子概率假设密度滤波算法
1.
A new multi-target tracking (MTT) algorithm called the kernel particle probability hypothesis density filter (KP-PHDF) is proposed for MTT applications.
提出一种新的多目标跟踪算法:核粒子概率假设密度滤波算法(KP-PHDF)。
2) Rao-Blackwellized particle probability hypothesis density filter
Rao-Blackwellized粒子概率假设密度滤波算法
1.
In this article, a new random set based on the probability hypothesis density filtering algorithm called the Rao-Blackwellized particle probability hypothesis density filter (RBP-PHDF) is proposed for multi-target tracking (MTT) application.
针对多目标跟踪(MTT),提出一种新的基于随机集的滤波算法,称为Rao-Blackwellized粒子概率假设密度滤波算法(RBP-PHDF)。
3) PHD filter
概率假设密度(PHD)滤波
5) probability hypothesis density
概率假设密度
1.
An approach is introduced to solve the problem with computational complexity is to track only the first moment of the joint distribution, the probability hypothesis density (PHD), the integral of this distribution ove.
文章介绍一种可以解决计算量问题的方法,只需计算联合分布的一阶矩——概率假设密度(PHD),PHD在任意区域S上的积分是S内目标数的期望值。
6) probability hypothesis density PHD
概率假设密度PHD
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条