Abstract
A competitive networked robot system based on high-speed vision is built. At the same time, by comparison, selection and integration of a variety of identification methods, a quick and effective target recognition and tracking algorithm for competitive networked robots is designed. Dynamic window technique and the improvement of traditional methods further enhance the system's real-time performance. The algorithm can track the moving target robot in complex background, with good robustness and less computation. Experimental results show that it takes less than 5 ms to process one frame of grey image of the size 640 × 480 pixels.
| Original language | English |
|---|---|
| Pages (from-to) | 658-665+672 |
| Journal | Jiqiren/Robot |
| Volume | 33 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 2011 |
Keywords
- Competitive networked robot system
- Dynamic window
- High-speed vision
- Object recognition
- Visual servo
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