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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Ge Zhao Jie |
| Copyright Year | 2007 |
| Description | Author affiliation: Robotics Inst.Harbin Inst.of Technol., Harbin (Li Ge; Zhao Jie) |
| Abstract | This paper proposes a visual servo system for real-time tracking and grasping of a moving object. In the visual servo system, a fast template matching method can be used in combination with a fast and reliable stereo matching method to achieve image matching of a moving object. Kalman filtering is then applied to provide improved position and speed estimation. At the same time, a parallel method is adopted to raise matching speed of the image matching method. The result is transmitted directly to robot controller and stereo-visual platform. It achieves the visual servoing of the robot and realizes real-time moving object grasping. By carrying out computer simulations and many experiments of object tracking with the capture of a moving object, experimental data is obtained to show that both oriented precision and matching speed have improved. |
| Starting Page | 2886 |
| Ending Page | 2891 |
| File Size | 618804 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424407361 |
| DOI | 10.1109/ICIEA.2007.4318941 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visual servoing Parallel algorithms Industrial electronics |
| Content Type | Text |
| Resource Type | Article |
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