PARTICLE_FILTER

作品数：189被引量：437H指数：9
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VIDEO MULTI-TARGET TRACKING BASED ON PROBABILISTIC GRAPHICAL MODEL
《Journal of Electronics(China)》2011年第4期548-557,共10页Xu Feng Huang Chenrong Wu Zhengjun Xu Lizhong 
Supported by the National High Technology Research and Development Program of China (No. 2007AA11Z227);the Natural Science Foundation of Jiangsu Province of China(No. BK2009352);the Fundamental Research Funds for the Central Universities of China (No. 2010B16414)
In the technique of video multi-target tracking,the common particle filter can not deal well with uncertain relations among multiple targets.To solve this problem,many researchers use data association method to reduce...
关键词：Video tracking Multi-target tracking Data association Probabilistic graphical model Particle filter 
ADAPTIVE UPDATE RATE FOR PHASED ARRAY RADAR BASED ON IMMK-PF
《Journal of Electronics(China)》2010年第3期371-376,共6页Zhang Jindong Wang Haiqing Zhu Xiaohua 
Interacting Multiple Model Kalman-Particle Filter (IMMK-PF) has the advantages of particle filter and Kalman filter and good computation efficiency compared with Interacting Multiple Model Particle Filter (IMMPF). Bas...
关键词：Phased Array Radar (PAR) Interacting Multiple Model Kalman-Particle Filter (IMMK-PF) Posterior Cramer-Rao Bound Matrix (PCRBM) Adaptive sampling 
EFFECTIVE APPEARANCE MODEL FOR PROBABILISTIC OBJECT TRACKING被引量：1
《Journal of Electronics(China)》2009年第4期503-508,共6页Wang Shupeng Ji Hongbing 
Supported by the National Natural Science Foundation of China (No. 60677040)
This paper presents a robust object tracking approach via a spatially constrained colour model. Local image patches of the object and spatial relation between these patches are informative and stable during object tra...
关键词：Object tracking Appearance model Particle filter Adaptive scale 
A NOVEL FAST MOVING OBJECT CONTOUR TRACKING ALGORITHM被引量：2
《Journal of Electronics(China)》2009年第1期94-100,共7页An Guocheng Yang Hao Wu Zhenyang 
Supported by the National Natural Science Foundation of China (No. 60672094)
If a somewhat fast moving object exists in a complicated tracking environment, snake's nodes may fall into the inaccurate local minima. We propose a mean shift snake algorithm to solve this problem. However, if the ob...
关键词：Object contour tracking Mean shift Particle filter Kernel scale 
COLLABORATIVE TRACKING VIA PARTICLE FILTER IN WIRELESS SENSOR NETWORKS被引量：2
《Journal of Electronics(China)》2008年第3期311-318,共8页Yan Zhenya Zheng Baoyu Xu Li Li Shitang 
Supported by the National Natural Science Foundation of China (No. 60372107);Ph.D. Innovation Program of Ji-angsu Province (No. 200670);Major Science Foundation of Jiangsu Province (BK2007729);Major Science Foundation of Jiangsu Universities (06KJ510001)
Target tracking is one of the main applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of the sensor nodes. A framework and ana...
关键词：Collaborative tracking Wireless sensor network Sensor selection Particle filter 
AN ITERATIVE PARTICLE FILTER SIGNAL DETECTOR FOR MIMO FAST FADING CHANNELS
《Journal of Electronics(China)》2008年第2期157-165,共9页Yang Tao Hu Bo 
the National Natural Science Foundation of China (No. 60672047);Shanghai Postdoctoral Scientific Program (No. 05R214110).
For flat fast fading Multiple-Input Multiple-Output(MIMO) channels,this paper presents a sampling based channel estimation and an iterative Particle Filter(PF) signal detection scheme. The channel estimation is compri...
关键词：Multiple-Input Multiple-Output Update （PIU） Serial Importance Update （SIU） （MIMO） Particle Filter （PF） Parallel Importance 
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