An enhanced Mean-Shift and LBP-based face tracking method

2011 ◽  
Author(s):  
Parisa Pouladzadeh ◽  
Mehdi Semsarzadeh ◽  
Behnoosh Hariri ◽  
Shervin Shirmohammadi
Keyword(s):  
Mean Shift ◽  
Face Tracking ◽  
Tracking Method

Study of Missile Radiator Predicting and Tracking Technology on the Basis of Kalman Filter and Mean-Shift Algorithm

2011 ◽  
Vol 383-390 ◽  
pp. 1584-1589
Author(s):  
Zhen Hui Xu ◽  
Bao Quan Mao ◽  
Li Xu ◽  
Jun Yan Zhao
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Kalman Filtering ◽  
Mean Shift ◽  
Moving Target ◽  
Tracking Method ◽  
The Real ◽  
Mean Shift Algorithm ◽  
Compensation Function ◽  
Tracking Technology

In order to improve the real-time character of missile radiator tracking and solve the predicting tracking problem when missile radiator shortly shelter or missing, it introduces moving target predicting and tracking technology. According to the predicting and tracking method, it proposes three predicting and tracking overall schemes of missile radiator based on Kalman filtering and improved Mean-Shift algorithm. Also it compares the real-time character of three kinds of schemes. According to the trajectory character of missile radiator, it constructs Kalman filter. The experiment results indicate that by using Kalman filtering technology, there are improvements in real-time character and shortly shelter or missing problem can be solved well. It plays a certain compensation function to the whole system.

Particle Filter and Mean Shift Tracking Method Based on Multi-feature Fusion

2010 ◽  
Vol 32 (2) ◽  
pp. 411-415 ◽  
Author(s):  
Yuan-zheng Li ◽  
Zhao-yang Lu ◽  
Quan-xue Gao ◽  
Jing Li
Keyword(s):  
Particle Filter ◽  
Feature Fusion ◽  
Mean Shift ◽  
Tracking Method
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