机构

• 长春光学精密机械与物... [9]
• 自动化研究所 [9]
• 软件研究所 [2]
• 遥感与数字地球研究所 [1]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [23]

内容类型

• 会议论文 [15]
• 期刊论文 [5]
• 学位论文 [3]

发表日期

• 2022 [2]
• 2020 [2]
• 2019 [1]
• 2014 [1]
• 2013 [2]
• 2012 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共23条，第1-10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 Classifying Clear Air Echoes via Static and Motion Streams Network 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5 作者:  Qu, Yuxun;  Zhang, Chenyang;  Yang, Xuebing;  Wu, Yajing;  Zhang, Wensheng   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/01/27 Radar  Radar imaging  Atmospheric modeling  Training  Streaming media  Image segmentation  Image sequences  Classification of nonprecipitation echoes  clear air echoes  feature fusion  radar image segmentation   VidSfM: Robust and Accurate Structure-From-Motion for Monocular Videos 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2449-2462 作者:  Cui, Hainan;  Tu, Diantao;  Tang, Fulin;  Xu, Pengfei;  Liu, Hongmin   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/06/06 Cameras  Image reconstruction  Videos  Simultaneous localization and mapping  Video sequences  Robustness  Scalability  Structure from motion  image reconstruction  computational geometry  computer vision   Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 17, 期号: 3, 页码: 401-405 作者:  Zhang, Chenyang;  Yang, Xuebing;  Tang, Yongqiang;  Zhang, Wensheng   |  收藏  |  浏览/下载：76/0  |  提交时间：2020/06/02 Deep learning  extreme precipitation  generative adversarial networks (GANs)  radar image sequences   Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 150864-150877 作者:  Xi, Jiangbo;  Xiang, Yaobing;  Ersoy, Okan K.;  Cong, Ming;  Wei, Xin   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/10/23 Space debris  Feature extraction  Machine learning  Signal to noise ratio  Object detection  Image sequences  Optical imaging  Space debris detection  background estimation  candidate region extraction  deep learning   Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586 作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang   |  收藏  |  浏览/下载：51/0  |  提交时间：2020/03/30 blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates   Multiple dim targets detection in infrared image sequences 会议论文  OAI收割 International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014 作者:  Ma TL(马天磊);  Shi ZL(史泽林);  Yin J(尹健);  Xu BS(徐保树) 收藏  |  浏览/下载：34/0  |  提交时间：2014/12/29 multiple targets detection  IR image sequences  low SNR  CFAR judging   地基云图分类方法研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者:  刘爽 收藏  |  浏览/下载：217/0  |  提交时间：2015/09/02 地基云图  图像分类  特征提取  局部二值模式  云图序列  ground-based cloud images  image classification  feature extraction  local binary patterns  cloud sequences   基于视觉的人的行为表达与识别方法研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者:  王时全 收藏  |  浏览/下载：46/0  |  提交时间：2015/09/02 动态图像序列理解  行为识别  方向统计学  semantic interpretation of dynamic image sequences  action recognition  directional statistics   Tracking blurred object with data-driven tracker 会议论文  OAI收割 China, 2012 作者:  Jianwei Ding;  Kaiqi Huang;  Tieniu Tan   |  收藏  |  浏览/下载：14/0  |  提交时间：2016/12/30 Target Tracking    image Sequences    algorithm Design And Analysis   Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Zhang X.;  Zhang J.;  Zhang J.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：68/0  |  提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface  and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion  which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally  we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word  our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set  but also proves practical to some real world applications  in addition  this method is computationally simple and able to achieve a satisfactory accuracy.