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Automatic tracking of multi-fruit targets with oscillation under natural growth conditions

Information Processing in Agriculture 2020年第4期7卷 546-555页

作者： Lin-lin Zhang Dong-jian He Huai-bo Song College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100China Key Laboratory of Agricultural Internet of Things Ministry of Agriculture and Rural AffairsYangling 712100China Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service Yangling 712100China

It is important for intelligent orchards to be able to achieve automatic monitoring of fruit growth information within a natural growing *** issue of how to track green and oscillating fruits under the influence of wind and farming operations is a key aspect of monitoring of the growth state of the *** order to realize the accurate tracking of green fruit targets,a new method based on target tracking is ***,an optical flow method is applied to realize the automatic detection of green fruit targets,and this lays the foundation for the accurate and automatic tracking of these ***,Kalman and kernelized correlation filter(kcf)algorithms are applied to achieve multi-target tracking and *** order to verify the performance of these different algorithms on various types of green fruit targets,experiments were carried out based on nine video *** experimental results for the tracking of single,double and triple green fruit targets show that the average tracking success rates of the Kalman algorithm are 88.15%,82.30%and 53.10%,respectively,and those of the kcf algorithm are 94.07%,87.35%and 61.46%,respectively,meaning that the average tracking results from kcf are 5.92%,5.05%and 8.36%higher than those from the Kalman *** time consumed is also reduced by 35.40%,36.27%and 40.86%,*** results show that it is feasible to apply the kcf algorithm to the tracking of green fruit targets.

关键词： Video tracking technology Green multi-fruit target Oscillating green fruits Kalman algorithm kcf algorithm

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