PARTICLE_FILTER

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Tracking Algorithm Based on Improved Interacting Multiple Model Particle Filter
《Journal of Harbin Institute of Technology(New Series)》2019年第3期43-49,共7页Hailin Feng Juanli Guo 
Sponsored by the National Natural Science Foundation of China(Grant No.71271165)
Measurements are always interfered with glint noise in a radar target tracking system, which makes the performance of traditional filtering fall sharply and even divergent.Against this problem, a new Interactive Multi...
关键词：OBSERVATION noise INTERACTIVE multiple model TARGET tracking PARTICLE FILTER 
Improved design of proposal distribution for particle filter被引量：1
《Journal of Harbin Institute of Technology(New Series)》2012年第6期72-78,共7页刘镇弢 曹蓓 沈绪榜 
Sponsored by the National Natural Science Foundation of China (Grant No. 61136002 );Key Project of Chinese Ministry of Education (Grant No.211180);Shannxi Provincial Industrial and Technological Project(Grant No. 2011K06-47)
One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type ...
关键词：particle filter proposal distribution IEKF Rauch-Tung-Striebel （RTS） smoother 
Robust multiple face tracking via mixture model
《Journal of Harbin Institute of Technology(New Series)》2010年第6期830-836,共7页郭超 
Based on particle filter framework,a robust tracker is proposed for tracking multiple faces of people moving in a scene.Although most existing algorithms are able to track human face well in controlled environments,th...
关键词：face tracking OCCLUSION EIGENSPACE eigenbasis particle filter 
An evolutionary particle filter based EM algorithm and its application被引量：2
《Journal of Harbin Institute of Technology(New Series)》2010年第1期70-74,共5页向礼 刘雨 苏宝库 
Sponsored by the National Security Major Basic Research Project of China(Grant No.973 -61334)
In this paper, an evolutionary recursive Bayesian estimation algorithm is presented, which incorporates the latest observation with a new proposal distribution, and the posterior state density is represented by a Gaus...
关键词：particle filter expectation-maximization （EM） Gaussian mixture model （GMM） nonlinear systems 
Tracking of human head with particle filter被引量：1
《Journal of Harbin Institute of Technology(New Series)》2009年第2期269-274,共6页郭超 
To cope with the problem of tracking a human head in a complicated scene,we propose a method that adopts human skin color and hair color integrated with a kind of particle filter named condensation algorithm.Firstly,a...
关键词：human head tracking CONDENSATION particle filter Hausdorff distance 
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