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兰州理工大学 [8]
西安交通大学 [2]
清华大学 [1]
内容类型
期刊论文 [9]
会议论文 [2]
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2014 [2]
2013 [4]
2012 [1]
2011 [1]
2010 [2]
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An improved UPF object tracking algorithm based on multi-feature fusion
期刊论文
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2014, 卷号: 48, 期号: 10, 页码: 1473-1478
作者:
Li, Xiao-Xu
;
Dai, Bin
;
Cao, Jie
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/11/14
Image processing
Kalman filters
Textures
Uncertainty analysis
Iterated Kalman filter
Multiple features fusions
Object Tracking
Uncertainty measurements
Unscented particle filters
Improved UPF algorithm based on Gaussian Sigma points selection
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2014, 卷号: 44, 期号: 5, 页码: 1435-1440
作者:
Cao, Jie
;
Dai, Bin
;
Li, Xiao-Xu
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/11/14
Approximation algorithms
Computer applications
Distribution functions
Gaussian distribution
Monte Carlo methods
Metropolis Hastings
Particle filter
Particle filter algorithms
Posterior probability
Proposal distribution
Sigma point
Unscented Kalman Filter
Unscented particle filters
Adaptive unscented particle filter algorithm under unknown noise
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2013, 卷号: 43, 期号: 4, 页码: 1139-1145
作者:
Li, Yu-Chen
;
Li, Zhan-Ming
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/11/14
Adaptive filters
Clutter (information theory)
Data processing
Distribution functions
Information filtering
Kalman filters
Monte Carlo methods
Target tracking
Anti-noise ability
Estimation errors
Particle filter
Proposal distribution
Statistic characteristics
Unknown noise
Unscented Kalman Filter
Unscented particle filters
Video target tracking algorithm based on multi-feature adaptive fusion
期刊论文
Journal of Computational Information Systems, 2013, 卷号: 9, 期号: 11, 页码: 4617-4628
作者:
Wang, Jinhua
;
Cao, Jie
;
Li, Wei
;
Li, Jun
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Linear regression
Monte Carlo methods
Target tracking
Adaptive fusion
Feature fusion
Object Tracking
Observation information
Particle filter
Statistical linear regressions
Unscented particle filters
Unscented transformations
Speaker tracking based on audio-visual fusion with unknown noise
会议论文
Yangzhou, Jiangsu, China, August 23, 2013 - August 25, 2013
作者:
Cao, Jie
;
Li, Jun
;
Li, Wei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/11/15
Acoustic noise
Audio acoustics
Distribution functions
Kalman filters
Monte Carlo methods
Tracking (position)
Audio-visual fusion
Noise statistics
Optimal distribution functions
Particle filter
Particle filter algorithms
Speaker tracking
Statistic characteristics
Unscented Kalman Filter
Multi-features fusion tracking method under unknown noise
期刊论文
Information Technology Journal, 2013, 卷号: 12, 期号: 4, 页码: 614-622
作者:
Feng, Xin
;
Wang, Xiaoming
;
Dang, Jianwu
;
Shen, Yu
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/11/14
Adaptive filtering
Adaptive filters
Clutter (information theory)
Distribution functions
Kalman filters
Monte Carlo methods
State estimation
D S evidence theory
Multi-features fusions
Optimal distribution functions
Particle filter
Statistic characteristics
Statistical characteristics
Unscented Kalman Filter
Video targets
Object tracking algorithm based on adaptive unscented particle filter
期刊论文
Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2012, 卷号: 23, 期号: 10, 页码: 1983-1989
作者:
Li, Yu-Chen
;
Li, Zhan-Ming
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Adaptive filters
Algorithms
Estimation
Monte Carlo methods
Nonlinear filtering
Anti-noise ability
Complex scenes
Estimation errors
High precision
Object Tracking
Object tracking algorithm
Optimal distribution functions
Particle filter
Sage-husa
Statistic characteristics
Unknown noise
Unscented Kalman Filter
Unscented particle filters
Cubature particle filter and its application
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2011, 卷号: 45, 期号: [db:dc_citation_issue], 页码: 13-17
作者:
Mu, Jing
;
Cai, Yuanli
;
Zhang, Junmin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
Cubature particle filters
Cubature rules
Discrete - time systems
Extended particle filters
Generic particle filters
Numerical integration methods
Particle filter
Unscented particle filters
State tracking measurement method using particle filter based on radial basis function neural network
期刊论文
2010, 2010
Wang Xue
;
Wang Sheng
;
Ma Junjie
收藏
  |  
浏览/下载:4/0
Unscented particle filtering with Particle Swarm Optimization for estimating nonlinear system
会议论文
作者:
Li, Ming
;
L., Yuan
;
W., Du
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Monte Carlo methods
Nonlinear systems
Computation complexity
Estimation precision
Objective functions
Optimization approach
Particle degeneracy
Particle Filtering
Particle swarm
Unscented particle filters
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