A new motion obstacle detection based monocular-vision algorithm
文献类型：会议论文
| 作者 | Yuxi, Feng; Guotian, He ; Qizhou, Wu
|
| 出版日期 | 2016 |
| 会议日期 | August 27, 2016 - August 29, 2016 |
| 会议地点 | Jeju Island, Korea, Republic of |
| DOI | 10.1109/ICCIA.2016.19 |
| 页码 | 31-35 |
| 英文摘要 | As for real-Time changes in the illumination and external environment in indoor structured environment, this paper proposed an advanced moving obstacle detection algorithm based on monocular vision. It cut the image with a monocular camera, did the gray scale conversion and median filtering, combined the background subtraction method of Gaussian mixture model and inter-frame subtraction method, then conducted morphological processing and connectivity analysis on binarized difference image with the area information included, which effectively solved the hole problem, and obtained complete information on moving targets. The result showed that this method can quickly and accurately detect moving obstacles within the region observed, of good real time performance and robustness, able to adapt to light and other changes in external conditions. © 2016 IEEE. |
| 会议录 | 2016 International Conference on Computational Intelligence and Applications, ICCIA 2016
 |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4657]  |
| 专题 | 机器人与3D打印技术创新中心 |
| 作者单位 | Chongqing University of Posts and Telecommunications, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing Deling Science and Technology Co.,Ltd, Chongqing, China |
| 推荐引用方式 GB/T 7714 | Yuxi, Feng,Guotian, He,Qizhou, Wu. A new motion obstacle detection based monocular-vision algorithm[C]. 见:. Jeju Island, Korea, Republic of. August 27, 2016 - August 29, 2016. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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