The Improvement of Mean - Shift Algorithm in the Video of Global Visual Robotic Fish in Tracking Moving Targets

被引:0
|
作者
Mai, Zhiyuan [1 ]
Tan, Kunyu [1 ]
Xu, Anting [1 ]
Xiang, Wei [1 ]
机构
[1] Southwest Univ Nationalities, Inst Elect & Informat Engn, Chengdu 610041, Sichuan, Peoples R China
关键词
Object tracking; Mean-Shift algorithm; Density estimation; Epanechnikov core; Robotic Fish;
D O I
10.4028/www.scientific.net/AMM.475-476.947
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The tracking effect is not good for the faster track with Mean Shift tracking algorithm when the difference is not obvious between the track target and background pixels in the video of global visual robotic fish. To solve the difficulty of tracking drastically moving targets in this paper, determining the position of moving targets in the next frame through comparing with two be coefficients which have been set when the Epanechnikov has been selected core to estimate is indeed. The experimental results show the proposed algorithm can track the moving targets efficiently and precisely in video, and also can meet high real-time situation with small calculation.
引用
收藏
页码:947 / 951
页数:5
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