机构

• 国家空间科学中心 [3]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [3]
• 期刊论文 [1]

发表日期

• 2018 [3]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Moving Point Target Detection Based on Higher Order Statistics in Very Low SNR 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 卷号: 15, 期号: 2, 页码: 217-221 作者:  Niu, Wenlong;  Zheng, Wei;  Yang, Zhen;  Wu, Yong;  Vagvolgyi, Balazs   |  收藏  |  浏览/下载：46/0  |  提交时间：2018/03/02 Bispectrum Estimation  Moving Point Target Detection  Time Series  Transient Signal Detection  Visual Image Sequence   A WEAK MOVING POINT TARGET DETECTION METHOD BASED ON HIGH FRAME RATE IMAGE SEQUENCES 会议论文  OAI收割 Valencia, SPAIN, JUL 22-27, 2018 作者:  Wu, Yong;  Yang, Zheng;  Niu, Wenlong;  Zheng, Wei   |  收藏  |  浏览/下载：32/0  |  提交时间：2019/01/31 kernel  high frame rate  wavelet packet  moving point target  signal detection   HIGH FRAME-RATE BASED MOVING POINT TARGET DETECTION 会议论文  OAI收割 Valencia, SPAIN, JUL 22-27, 2018 作者:  Niu, Wenlong;  Wu, Yong;  Zheng, Wei;  Yang, Zhen;  Vagvolgyi, Balazs   |  收藏  |  浏览/下载：28/0  |  提交时间：2019/01/31 Moving point target detection  framework  time series  target detector  high frame-rate   Partial occlusion detection of object boundary (EI CONFERENCE) 会议论文  OAI收割 2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore 作者:  Zhang J.;  Zhang K.;  Zhang K.;  Zhang K.;  Zhang K. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous  especially when distinguishing it only from the object boundary. In this paper  we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing  sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method  the application scope of occlusion detection is expanded while other method cannot be performed which need color  texture  or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.