Multi-target Tracking Based on Improved Particle Filter Algorithm

2017 ◽  
Author(s):  
Tan Yumei ◽  
Ling Yongfa ◽  
Wang Hui ◽  
Yang Longwen
Keyword(s):  
Particle Filter ◽  
Target Tracking ◽  
Multi Target Tracking ◽  
Particle Filter Algorithm

Multi-Target Tracking Based on Optimized Particle Filter Algorithm

2012 ◽  
Vol 11 (1) ◽  
pp. 630-633
Author(s):  
Junying Meng ◽  
Jiaomin Liu ◽  
Juan Wang ◽  
Ming Han
Keyword(s):  
Particle Filter ◽  
Target Tracking ◽  
Multi Target Tracking ◽  
Particle Filter Algorithm

The Particle Filter Algorithm Research for Target Tracking Based on Information Fusion

2012 ◽  
Vol 628 ◽  
pp. 440-444 ◽  
Author(s):  
Juan Li ◽  
Hui Juan Hao ◽  
Mao Li Wang
Keyword(s):  
Particle Filter ◽  
Target Tracking ◽  
Information Fusion ◽  
Particle Filtering ◽  
Tracking System ◽  
Distributed Sensor ◽  
Multi Target Tracking ◽  
Particle Filter Algorithm ◽  
Gaussian System ◽  
Non Gaussian

This paper researches the particle filters Algorithms for target tracking based on Information Fusion, it combines the traditional Kalman filter with the particle filter. For multi-sensor and multi-target tracking system with complex application background, which is nonlinear and non-gaussian system, the paper proposes an effective particle filtering algorithm based on information fusion for distributed sensor, this algorithm contributes to the solution of particle degradation problems and the phenomenon of particle lack, and achieve high precision for target tracking.

Target Tracking Based on Optimized Particle Filter Algorithm

2013 ◽  
Vol 8 (5) ◽  
Author(s):  
Junying Meng ◽  
Jiaomin Liu ◽  
Juan Wang ◽  
Ming Han
Keyword(s):  
Particle Filter ◽  
Target Tracking ◽  
Particle Filter Algorithm
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