KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Motion target detection algorithm based on monocular vision | |
Feng, Yuxi; Wu, Qizhou; He, Guotian
| |
| 2017 | |
| 摘要 | In this paper, presents an improved motion obstacle detection algorithm based on monocular vision by contrast analysis of optical flow method, frame difference method and background difference method. Firstly, the image is collected by the monocular camera, preprocessed, and then processed by an improved motion obstacle detection algorithm. Finally, the image is processed to solve the void problem and get the complete motion obstacle information. The experimental results show that the method proposed in this paper requires less computational complexity and simpler parameter design than the traditional detection algorithm, and the motion detection algorithm proposed in this paper can satisfy the real-time and real-time Accuracy requirements. © 2017 ACM. |
| 语种 | 英语 |
| DOI | 10.1145/3056662.3056669 |
| 会议(录)名称 | 6th International Conference on Software and Computer Applications, ICSCA 2017
 |
| 页码 | 107-111 |
| 收录类别 | EI |
| 会议地点 | Bangkok, Thailand |
| 会议日期 | February 26, 2017 - February 28, 2017 |
