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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