摘要
为推进农业信息化,实现猪的智能化养殖以及对多猪只的智能跟踪,设计猪只检测阶段和跟踪阶段。在检测阶段,该设计提出了基于高斯混合建模和均值分割算法相结合的信息融合算法,有效地解决猪只静止或运动缓慢以及背景噪声对检测结果的影响;在跟踪阶段,传统粒子滤波算法并不能对猪只重叠进行运动跟踪,对重要性粒子滤波结果进行序列化,并将其结果利用KNN算法进行轨迹跟踪。最后进行了处理试验,结果显示算法真实有效。该成果可用于猪只养殖信息化。
To promote agricultural informatization and to realize intelligent pig breeding and intelligent tracking of pigs,two stages were designed,which were pig detection stage and tracking stage.In the detection phase,the information fusion algorithm based on Gauss mixture modeling and mean segmentation algorithm was proposed to effectively solve the influence of pig static or slow motion and background noise on the detection results.In the tracking stage,the traditional particle filter algorithm could not track the overlap of pigs and was of great importance.The results of particle filter were serialized,and the KNN algorithm was used to track the trajectory.Finally,the processing experiments were carried out.The results showed that the algorithm was real and effective.The results could be used in pig farming informatization.
作者
束平
吴洪昊
孙娟
唐晓东
SHU Ping;WU Hong-hao;SUN Juan(Yancheng Bioengineering Branch of Jiangsu Union Technical Institute,Yancheng,Jiangsu 224051)
出处
《安徽农业科学》
CAS
2021年第16期230-232,247,共4页
Journal of Anhui Agricultural Sciences
基金
国家职业教育数字化资源共建共享计划项目(ZYKC201103)
江苏省科技厅苏北科技发展计划-科技富民强县项目(BN2014133)
江苏省职业教育教学改革研究项目(ZYB136)。
关键词
农业信息化
猪养殖
目标跟踪
Agricultural informatization
Pig breeding
Target tracking
