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Real-time object tracking of a robot head based on multiple visual cues integration
Conference proceeding

Real-time object tracking of a robot head based on multiple visual cues integration

Yunting Pang, Qiang Huang, Weimin Zhang, Zhangfeng Hu, Altaf Hussain Rajpar, Kejie Li and IEEE
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, pp.686-691
01/01/2006
DOI: https://doi.org/10.1109/IROS.2006.282613

Abstract

Automation & Control Systems Computer Science Computer Science, Artificial Intelligence Robotics Science & Technology Technology
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.

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