View-Angle Invariant Object Monitoring Without Image Registration | |
Zhang, Xin1,2; Huo, Chunlei1,2; Pan, Chunhong1,2 | |
2020-05 | |
会议日期 | 2020-5-4 |
会议地点 | online meeting |
英文摘要 | Object monitoring can be performed by change detection algorithms. However, for the image pair with a large perspective difference, the change detection performance is usually impacted by inaccurate image registration. To address the above difficulties, a novel object-specific change detection approach is proposed for object monitoring in this paper. In contrast to traditional approaches, the proposed approach is robust to view angle variation and does not require explicit image registration. Experiments demonstrate the effectiveness and advantages of the proposed approach. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48536] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
通讯作者 | Huo, Chunlei |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.NLPR, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Zhang, Xin,Huo, Chunlei,Pan, Chunhong. View-Angle Invariant Object Monitoring Without Image Registration[C]. 见:. online meeting. 2020-5-4. |
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