A parallel algorithm for visual tracking of multiple free-swimming robot fishes based on color information | |
Yu, Junzhi; Wang, Shuo; Tan, Min | |
2003 | |
会议名称 | Proc. IEEE International Conference on Robotics, Intelligent Systems and Signal Processing |
会议日期 | Oct. 8–13, 2003 |
会议地点 | Changsha, Hunan, China |
通讯作者 | Yu, Junzhi |
英文摘要 | Obtaining information of both action of multiple free-swimming robot fishes and environment quickly and accurately from image sequence is the foundation of making decision and control in a MRFS (multiple robot fishes cooperation system). The real-time vision subsystem of MRFS and its tracking strategy for multi-target are introduced in this paper. Combining features of the robot fish and location background, an adaptive segmentation algorithm based on hue histogram and saturation histogram is proposed, which can adapt the changing environmental conditions. At the same time, integrating with computer parallel processing technology, the overall tracking algorithms are optimized by means of MMX and SSE instructions. The designed visual subsystem has been implemented in MRFS, and the results have shown its effectiveness by successfully tracking multiple free-swimming fishes and obstacles. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/13078] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
作者单位 | Lab. of Complex Syst./Intell. Sci., Institute of Automation, Chinese Academy Sciences, P. O. Box 2728, Beijing 100080, China |
推荐引用方式 GB/T 7714 | Yu, Junzhi,Wang, Shuo,Tan, Min. A parallel algorithm for visual tracking of multiple free-swimming robot fishes based on color information[C]. 见:Proc. IEEE International Conference on Robotics, Intelligent Systems and Signal Processing. Changsha, Hunan, China. Oct. 8–13, 2003. |
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