Academic Journal of Engineering and Technology Science, 2021, 4(7); doi: 10.25236/AJETS.2021.040702.
Zhijie Shao1, Yingyue Xing2
1Dalian-Leicester Institute, Dalian University of Technology, Dalian, Liaoning, China
2School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China
In order to meet the real-time and precision requirements of visual feedback in robot control system, a real-time target tracking method based on Kalman filter prediction was proposed.This method uses the binocular vision system fixing the ball. , this method can predict the position of the moving target, define target search scope, and decrease the output noise, so as to improve the tracking speed and accuracy.The experimental results show that compared with particle filter and the original Kalman filter, this method is basically meet the real-time and accuracy requirements of visual control by using predicted value and close-loop control.
real-time visual positioning, Extended Kalman filter, Track prediction
Zhijie Shao, Yingyue Xing. Research on spherical localization and prediction based on real-time vision. Academic Journal of Engineering and Technology Science (2021) Vol. 4, Issue 7: 6-11. https://doi.org/10.25236/AJETS.2021.040702.
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