Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System  

作　　者：R.Ganesan G.Sankaranarayanan M.Pradeep Kumar V.K.Bupesh Raja 

机构地区：[1]Department of Mechanical Engineering,Sathyabama Institute of Science and Technology,Chennai,600119,India [2]Department of Mechanical Engineering,CEGC,Anna University,Chennai,600025,India

出　　处：《Intelligent Automation & Soft Computing》2023年第4期667-681,共15页智能自动化与软计算（英文）

摘　　要：This research introduces a challenge in integrating and cleaning the data,which is a crucial task in object matching.While the object is detected and then measured,the vibration at different light intensities may influence the durability and reliability of mechanical systems or structures and cause problems such as damage,abnormal stopping,and disaster.Recent research failed to improve the accuracy rate and the computation time in tracking an object and in the vibration measurement.To solve all these problems,this proposed research simplifies the scaling factor determination by assigning a known real-world dimension to a predetermined portion of the image.A novel white color sticker of the known dimensions marked with a color dot is pasted on the surface of an object for the best result in the template matching using the Improved Up-Sampled Cross-Correlation(UCC)algorithm.The vibration measurement is calculated using the Finite-Difference Algorithm(FDA),a machine vision systemfitted with a macro lens sensor that is capable of capturing the image at a closer range,which does not affect the quality of displacement measurement from the video frames.Thefield test was conducted on the TAFE(Tractors and Farm Equipment Limited)tractor parts,and the percentage of error was recorded between 30%and 50%at very low vibration values close to zero,whereas it was recorded between 5%and 10%error in most high-accelerations,the essential range for vibration analysis.Finally,the suggested system is more suitable for measuring the vibration of stationary machinery having low frequency ranges.The use of a macro lens enables to capture of image frames at very close-ups.A 30%to 50%error percentage has been reported when the vibration amplitude is very small.Therefore,this study is not suitable for Nano vibration analysis.

关 键 词：Vibration measurement object tracking up-sampled cross-correlation finite difference algorithm template matching macro lens machine vision 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]