Stage Actor Tracking Method Based on Kalman Filter

被引:0
|
作者
Lv, Chaohui [1 ,2 ]
Yin, Jun [1 ,2 ]
Gao, Yuntian [3 ]
机构
[1] Commun Univ China, Key Lab Acoust Visual Technol & Intelligent Contr, Minist Culture & Tourism, Beijing, Peoples R China
[2] Commun Univ China, Sch Informat & Commun Engn, Beijing, Peoples R China
[3] Jiangxi Univ Finance & Econ, Nanchang, Jiangxi, Peoples R China
来源
2019 ELEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI 2019) | 2019年
关键词
target tracking; stage lighting; kalman filter; background subtraction;
D O I
10.1109/icaci.2019.8778580
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Aiming at the problem that the traditional tracking algorithm could not accurately track the characters in the stage lighting environment, an improved method using Kalman filter is proposed. In the traditional background subtraction method based on hybrid Gaussian model, Kalman filter is introduced to establish the data structure of the tracking target, and the filtering prediction position and the detection position are matched to solve the problem of error detection area under the light interference. The experimental results show that the method has a good effect on the tracking of characters in the environment of stage lighting.
引用
收藏
页码:46 / 49
页数:4
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