Study on the Seed Sowing Tracking Using Image Technology

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.

关键词： Mean shift Kalman filter Sowing process Seed trajectory Image tracking technology

作者: ZHAO Zhan LI Yaoming

作者单位: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Prov Key Laboratory of Modem Agricultural Equipment and Technology, Ministry of Education & Jiangsu Provi

会议类型: 国际会议

会议名称: 2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)

会议地点: 镇江

会议语种:英文

页码: 504-508

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）