Study on the Seed Sowing Tracking Using Image Technology

机译：基于图像技术的种子播种跟踪研究

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摘要

Color feature space distribution and Epanechnikov kernel function were used to represent object model, then the article present an object tracking method based on mean shift algorithm. With the incorporation of a dynamic Kalman filter in the algorithm, the stability and adaptability were improved to cope with tracking fast moving objects. By using a high-speed camera system and the tracking method mentioned above, experiments were carried out on the air-suction cylinder precision seeder test-bed and the seeds sowing trajectories were received at various cylinder rotational speeds. So the main object of the research is to introduce an image detection technology on the sowing performance of precision seeders.

机译：利用色彩特征空间分布和Epanechnikov核函数表示对象模型，提出了一种基于均值漂移算法的对象跟踪方法。通过在算法中加入动态卡尔曼滤波器，提高了稳定性和适应性，可以应对快速移动的物体进行跟踪。通过使用上面提到的高速摄像系统和跟踪方法，对吸气筒精密播种机试验台进行了实验，并以各种筒体转速接收了播种轨迹。因此，本研究的主要目的是介绍一种针对精密播种机播种性能的图像检测技术。

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来源
《Informationization, Automation and Electrification in Agriculture》|2008年|504-508|共5页
会议地点 Zhengjiang(CN);Zhengjiang(CN)
作者
E.Caierao; rnRen.S.Fontaneli; rnRob.S.Fontaneli; rnL.de J.A.Del Duca;
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作者单位

ZHAO Zhan@Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education Jiangsu Province, Jiangsu University, P.R.China,212013--LI Yaoming@Key Laboratory of Modem Agricultural Equipment and Technology, Ministry of Education Jiangsu Province, Jiangsu University, P.R.China,212013--;

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原文格式 PDF
正文语种 eng
中图分类农业现代化建设;
关键词
Mean shift; Kalman filter; Sowing process; Seed trajectory; Image tracking technology;

机译：均值漂移;卡尔曼滤波;播种过程;种子轨迹;图像跟踪技术;

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Study on the Seed Sowing Tracking Using Image Technology

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