Multisensor distributed extended Kalman filtering algorithm and its application to radar/IR target tracking

1997 ◽  
Author(s):  
Ningzhou Cui ◽  
Weixing Xie ◽  
Xiongnan Yu ◽  
Yuanliang Ma
Keyword(s):  
Target Tracking ◽  
Kalman Filtering ◽  
Extended Kalman Filtering ◽  
Filtering Algorithm ◽  
Kalman Filtering Algorithm

A Survey on Moving Target Tracking in the Intelligent Visual Monitoring System

2014 ◽  
Vol 599-601 ◽  
pp. 790-793 ◽  
Author(s):  
Meng Xin Li ◽  
Gao Ling Su ◽  
Jing Hou ◽  
Dai Zheng
Keyword(s):  
Target Tracking ◽  
Kalman Filtering ◽  
Particle Filtering ◽  
Visual Surveillance ◽  
Moving Target ◽  
Extended Kalman Filtering ◽  
Moving Target Tracking ◽  
Filtering Algorithm ◽  
Tracking Algorithms ◽  
Kalman Filtering Algorithm

Moving target tracking is the key part of intelligent visual surveillance system. Among the various tracking algorithms, the Beysian tracking algorithms and the kernel tracking algorithm are two algorithms that frequently used. The Beysian tracking algorithms mainly conclude Kalman filtering algorithm, extended Kalman filtering algorithm and particle filtering algorithm. Mean Shift is the most representative algorithm of the kernel target tracking. In this survey, the status and development of target tracking algorithms has been studied more extensively with providing a few examples of modified tracking algorithms. Then a comparison was presented based on the limitations and scope of applications. Finally, the paper showed further research prospects of moving target tracking are introduced.

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