Research of CamShift Algorithm used in Object Tracking of Self-vision Underwater Robot

被引：0
|
作者：
Xiang, Wei [1 ]
机构：
[1] SouthWest Univ Nationalities, Inst Elect & Informat Engn, Chengdu 610041, Sichuan, Peoples R China
来源：
NANOTECHNOLOGY AND PRECISION ENGINEERING, PTS 1 AND 2 | 2013年 / 662卷
关键词：
Object tracking; Self-vision; Underwater robot; Camshift;
D O I：
10.4028/www.scientific.net/AMR.662.971
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
It is difficult for self-vision underwater robot to track object, and the tracking process is frequently inaccurate, unstable or even loss goals. To solve the above questions, Continuously Adaptive Mean Shift Algorithm (CamShift) is used in object tracking of self-vision underwater robot in this paper. We build a software experimental platform by VC++6.0 and Opencv1.0, with the external camera to capture video, and then apply Camshift algorithm in the environment, in which background color is not similar to the object to realize the real time tracking. The experimental results show the effectiveness of the algorithm for self-vision underwater robot.
引用
收藏
页码：971 / 974
页数：4
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