1.
Rao-Blackwellized Particle Probability Hypothesis Density Filter
Rao-Blackwellized粒子概率假设密度滤波算法
2.
A Kernel Particle Probability Hypothesis Density Filter for Multi-target Tracking
多目标跟踪的核粒子概率假设密度滤波算法
3.
Probability Hypothesis Density Filter Based on Unscented Transformation and Its Application to Multi-target Tracking
基于无迹变换的概率假设密度滤波算法
4.
Joint Probability Data Association Algorithm Based on Particle Filter
基于粒子滤波和联合概率数据关联的目标跟踪算法
5.
Scale Adaptive Particle Filter Tracking Method
一种尺度自适应的粒子滤波跟踪算法
6.
An Algorithm of Multi-rate Interacting Multi-model Particle Filter
一种多速率的交互式多模型粒子滤波算法
7.
Research on MCMC particle filter algorithm based on effective particles
有效粒子数MCMC粒子滤波算法研究
8.
Optimization Design of Type C Damped Filter Based on Particle Swarm Algorithms;
基于粒子群算法的C型阻尼滤波器优化设计
9.
Multi-target tracking method based on mean-shift and particle filter
基于mean-shift的多目标粒子滤波跟踪算法设计
10.
Research of Comparative Analysis of Extended kalman Filter and Particle Filter
扩展卡尔曼滤波和粒子滤波算法性能比较研究
11.
Improved particle filtering algorithm based on 2-order interpolation filtering
基于二阶插值滤波的粒子滤波改进算法研究
12.
Research of Particle Filter Algorithm Based on FPGA Implementation;
基于FPGA实现的粒子滤波算法研究
13.
Application of Particle Filtering to Multiple Target Tracking;
基于粒子滤波的多目标跟踪算法研究
14.
Research on Track-before-Detect Algorithm Based on Particle Filters
基于粒子滤波的检测前跟踪算法研究
15.
Target tracking by Particle Filtering in Sensor Networks
基于粒子滤波的传感器目标跟踪算法
16.
An Improved Object Tracking Algorithm Based on Particle Filter and Mean Shift
基于粒子滤波/Mean Shift的改进跟踪算法
17.
Target tracking algorithm based on MCMC unscented particle filter
基于MCMC无味粒子滤波的目标跟踪算法
18.
Dealing with the measurement outlier by robust particle filter
观测值含有粗差的抗差粒子滤波算法