KMS Chongqing Institute of Green and Intelligent Technology, CAS
| A new motion obstacle detection based monocular-vision algorithm | |
Yuxi, Feng; Guotian, He ; Qizhou, Wu
| |
| 2016 | |
| 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. |
| 语种 | 英语 |
| DOI | 10.1109/ICCIA.2016.19 |
| 会议(录)名称 | 2016 International Conference on Computational Intelligence and Applications, ICCIA 2016
 |
| 页码 | 31-35 |
| 收录类别 | EI |
| 会议地点 | Jeju Island, Korea, Republic of |
| 会议日期 | August 27, 2016 - August 29, 2016 |
