Knowledge Commons of Institute of Automation,CAS
Active visual tracking of free-swimming robotic fish based on automatic recognition | |
Sun, Feihu; Yu, Junzhi![]() ![]() | |
2015 | |
会议名称 | 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 |
会议录名称 | 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 |
页码 | 2879-2885 |
会议日期 | June 29, 2014 - July 4, 2014 |
会议地点 | Shenyang, China |
摘要 | Implementing automatic visual tracking for underwater robots often remains a great challenge. In this paper, we demonstrate an active visual tracking case with a free-swimming robotic fish by use of a combination of TI DM3730-centered embedded hardware and software. Specifically, automatic recognition algorithms mainly involving color-based identification and shape-based identification are proposed. In parallel with the enhanced target recognition, an improved real-time location method based on the weighed histogram representation of the target model that synthesizes the CAMSHIFT algorithm and the Kalman filter, is put forward. After that, a fuzzy logic controller based on the CPG model is employed to generate control signals related to the desired target. Aquatic experiments validate the effectiveness of the proposed algorithms. |
关键词 | Visualization Target Tracking Histograms Kalman Filters Target Recognition Robot Kinematics |
收录类别 | IEEE |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4961 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Sun, Feihu |
推荐引用方式 GB/T 7714 | Sun, Feihu,Yu, Junzhi,Chen, Shifeng,et al. Active visual tracking of free-swimming robotic fish based on automatic recognition[C],2015:2879-2885. |
条目包含的文件 | 条目无相关文件。 |
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