Motion target detection algorithm based on monocular vision
文献类型：会议论文
| 作者 | Feng, Yuxi; Wu, Qizhou; He, Guotian
|
| 出版日期 | 2017 |
| 会议日期 | February 26, 2017 - February 28, 2017 |
| 会议地点 | Bangkok, Thailand |
| DOI | 10.1145/3056662.3056669 |
| 页码 | 107-111 |
| 英文摘要 | 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. |
| 会议录 | 6th International Conference on Software and Computer Applications, ICSCA 2017
 |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4689]  |
| 专题 | 大数据挖掘及应用中心 |
| 作者单位 | College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400065, China |
| 推荐引用方式 GB/T 7714 | Feng, Yuxi,Wu, Qizhou,He, Guotian. Motion target detection algorithm based on monocular vision[C]. 见:. Bangkok, Thailand. February 26, 2017 - February 28, 2017. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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