An IFCE-based effective color tracking system for a humanoid robot in cluttered environments
文献类型：会议论文
| 作者 | Mao, Xiaoqian; Chen, Genshe; Li W(李伟) ; He, Huidong
|
| 出版日期 | 2017 |
| 会议名称 | 2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017 |
| 会议日期 | May 22-25, 2017 |
| 会议地点 | Torino, Italy |
| 关键词 | moving object tracking IFCE region growing central vision tracking cluttered environment |
| 页码 | 1-6 |
| 通讯作者 | Li W(李伟) |
| 中文摘要 | A variety of object tracking algorithms have been published in the field of image process, but most of them are easily influenced by illumination intensity and may not be reliable in cluttered environments. This paper proposes a novel color tracking system by extracting an object of interest with color similarities, which is based on an Improved Fuzzy Color Extractor (IFCE). The IFCE uses the angle between two vectors to distinguish the two pixels in RGB space coordinates. The length of a vector represents the illumination intensity of the pixel and the direction corresponds to the color. Thus, the illumination intensity and the color of a pixel are separated to adapt IFCE varying illumination conditions. Moreover, the strict color discrimination is accomplished by setting the fuzzy parameters. The central vision tracking strategy performs dynamic tracking processes. We use the NAO robot to validate the proposed system by tracking a moving person with several color tags. The results show that the IFCE-based color tracking system is robust in the cluttered environment with varying illumination intensity and the NAO robot tracks the person effectively. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议主办者 | IEEE; IEEE Instrumentation and Measurement Society |
| 会议录 | I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5090-3596-0 |
| WOS记录号 | WOS:000431839600332 |
| 源URL | [http://ir.sia.cn/handle/173321/20814]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 作者单位 | 1.School of Electrical Engineering and Automation, Tianjin University, Tianjin, China 2.Intelligent Fusion Technology Inc, Germantown, United States 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, United States |
| 推荐引用方式 GB/T 7714 | Mao, Xiaoqian,Chen, Genshe,Li W,et al. An IFCE-based effective color tracking system for a humanoid robot in cluttered environments[C]. 见:2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017. Torino, Italy. May 22-25, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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