Dynamic Visual Tracking for Robot Manipulator Using Adaptive Fading Kalman Filter

Dynamic Visual Tracking for Robot Manipulator Using Adaptive Fading Kalman Filter

This paper focuses on the problem of visual tracking of a moving target with the temporary occlusion of image feature, a dynamic visual tracking control system for robot manipulator is developed by using adaptive fading Kalman filter (AFKF). The estimation of the residual covariance is used to compu...

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Bibliographic Details
Main Authors: Jiadi Qu, Fuhai Zhang, Yunxi Tang, Yili Fu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Visual tracking
robot manipulation
Kalman filter
occlusion
Online Access:https://ieeexplore.ieee.org/document/8993820/

Internet

https://ieeexplore.ieee.org/document/8993820/

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