Title :
Visual servoing control of video tracking system for tracking a flying target
Author :
Tingting Wang ; Guodong Liu ; Wenfang Xie
Author_Institution :
Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China
Abstract :
In this paper, a visual servoing method based on image moments and distance estimation was proposed for a two rotational degrees-of-freedom (DOF) video tracking system for tracking a flying target. The image Jacobian matrix is derived by selecting image moments instead of simple image points as image features. The proposed visual servoing control scheme can track the flying object with irregular image projection and unknown model. Meanwhile, in order to achieve a stable object tracking, the distance between the camera and the flying object is recursively estimated by using Kalman filter on-line. The simulation and experimental results show that the proposed algorithm is effective in flying target tracking.
Keywords :
Jacobian matrices; Kalman filters; control engineering computing; target tracking; video signal processing; visual servoing; Kalman filter; distance estimation; flying target tracking; image Jacobian matrix; image features; image moments; irregular image projection; rotational degrees-of-freedom video tracking system; visual servoing control scheme; Cameras; Estimation; Jacobian matrices; Manipulators; Target tracking; Visual servoing;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-0838-1
DOI :
10.1109/AIM.2011.6027035