Abstract | ||
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Most visual tracking systems use single visual cue and usually fail in a complex environment. In this paper, first, different visual cues are analyzed for a pan-tilt robot head tracking system. Then, a visual cues integration method combining disparity, color and shape is proposed. Two computers linked with Memolink communication module ensure the robot head to track a moving object rapidly. The high robustness and real time performance of the system are confirmed by the experiments |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/IROS.2006.282613 | IROS |
Keywords | Field | DocType |
multiple visual cues integration,visual tracking,pan-tilt robot head tracking system,visual tracking systems,memolink communication,object tracking,real-time object tracking,object detection,cues integration,robot vision,visual cues,real time | Sensory cue,Computer vision,Object detection,Computer science,Tracking system,Robustness (computer science),Video tracking,Eye tracking,Head tracking,Artificial intelligence,Robot | Conference |
ISBN | Citations | PageRank |
1-4244-0259-X | 2 | 0.37 |
References | Authors | |
6 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yunting Pang | 1 | 8 | 1.26 |
Qiang Huang | 2 | 266 | 91.95 |
Weimin Zhang | 3 | 72 | 21.91 |
Zhangfeng Hu | 4 | 2 | 1.39 |
Altaf Hussain Rajpar | 5 | 6 | 1.19 |
Kejie Li | 6 | 100 | 20.73 |