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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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An Occlusion Detection System for Intravenous Infusion 期刊论文  OAI收割
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 21, 页码: 25779-25788
作者:  
Zhou LQ(周联巧);  Li QL(李沁蓝);  Wang, Liyang;  Wang, Mengjie;  Li, Longfei
  |  收藏  |  浏览/下载:14/0  |  提交时间:2024/01/02
Jointing Recurrent Across-Channel and Spatial Attention for Multi-Object Tracking With Block-Erasing Data Augmentation 期刊论文  OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 4054-4069
作者:  
Deng, Keyu;  Zhang, Congxuan;  Chen, Zhen;  Hu, Weiming;  Li, Bing
  |  收藏  |  浏览/下载:10/0  |  提交时间:2023/11/17
A convolution-transformer dual branch network for head-pose and occlusion facial expression recognition 期刊论文  OAI收割
VISUAL COMPUTER, 2022
作者:  
Liang, Xingcan;  Xu, Linsen;  Zhang, Wenxiang;  Zhang, Yan;  Liu, Jinfu
  |  收藏  |  浏览/下载:53/0  |  提交时间:2022/03/28
Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking 期刊论文  OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 5, 页码: 1122-1134
作者:  
Ruan, Weijian;  Chen, Jun;  Wu, Yi;  Wang, Jinqiao;  Liang, Chao
  |  收藏  |  浏览/下载:80/0  |  提交时间:2019/07/11
Evidence of simultaneous occurrence of tylosis formation and fungal interaction in a late Cenozoic angiosperm from the eastern Himalaya 期刊论文  OAI收割
REVIEW OF PALAEOBOTANY AND PALYNOLOGY, 2018, 卷号: 259, 期号: x, 页码: 171-184
作者:  
Khan, Mahasin Ali;  Bera, Meghma;  Spicer, Robert A.;  Spicer, Teresa E. V.;  Bera, Subir
  |  收藏  |  浏览/下载:91/0  |  提交时间:2019/04/22
In Situ 3D Segmentation of Individual Plant Leaves Using a RGB-D Camera for Agricultural Automation 期刊论文  OAI收割
SENSORS, 2015, 卷号: 15, 期号: 8, 页码: 20463-20479
作者:  
Xia, CL;  Wang, LT;  Chung, BK;  Lee, JM
收藏  |  浏览/下载:43/0  |  提交时间:2016/04/24
Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation 期刊论文  OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 卷号: 37, 期号: 4, 页码: 816-833
作者:  
Hu, Weiming;  Li, Wei;  Zhang, Xiaoqin;  Maybank, Stephen
收藏  |  浏览/下载:30/0  |  提交时间:2015/09/21
Multi-wire plaque crushing as a novel technique in treating chronic total occlusions 期刊论文  OAI收割
CHINESE MEDICAL JOURNAL, 2008, 卷号: 121, 期号: 6, 页码: 518-521
作者:  
Han Yaling;  Li Yi;  Wang Shouli;  Jing Quanmin;  Ma Yingyan
  |  收藏  |  浏览/下载:12/0  |  提交时间:2021/02/02
Multi-wire plaque crushing as a novel technique in treating chronic total occlusions 期刊论文  OAI收割
CHINESE MEDICAL JOURNAL, 2008, 卷号: 121, 期号: 6, 页码: 518-521
作者:  
Han Yaling;  Li Yi;  Wang Shouli;  Jing Quanmin;  Ma Yingyan
  |  收藏  |  浏览/下载:15/0  |  提交时间:2021/02/02
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文  OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.