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CIOMP OpenIR

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LSS-target detection in complex sky backgrounds 期刊论文
Chinese Optics, 2019, 卷号: 12, 期号: 4, 页码: 853-865
作者:  Y.-F.Wu;  Y.-J.Wang;  H.-J.Sun;  P.-X.Liu
浏览  |  Adobe PDF(773Kb)  |  收藏  |  浏览/下载：606/115  |  提交时间：2020/08/24
Image segmentation,Aspect ratio,Computer vision,Curve fitting,Filling,Object detection,Object recognition,Signal detection  
Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 119454-119464
作者:  J.N.Zhu;  T.Chen;  J.T.Cao
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：569/90  |  提交时间：2020/08/24
Adaptive background superposition initialization,channel attention,module,object tracking,Siamese network,Computer Science,Engineering,Telecommunications  
Underwater Object Recognition Based on Deep Encoding-Decoding Network 期刊论文
Journal of Ocean University of China, 2019, 卷号: 18, 期号: 2, 页码: 376-382
作者:  X.H.Wang;  J.H.Ouyang;  D.Y.Li;  G.Zhang
Adobe PDF(464Kb)  |  收藏  |  浏览/下载：300/78  |  提交时间：2020/08/24
deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography  
The Cat's Eye Effect Target Recognition Method Based on Visual Attention 期刊论文
Chinese Journal of Electronics, 2019, 卷号: 28, 期号: 5, 页码: 1080-1086
作者:  X.B.Wang;  J.Zhang;  S.H.Wang
Adobe PDF(1884Kb)  |  收藏  |  浏览/下载：532/73  |  提交时间：2020/08/24
feature extraction,image fusion,object detection,target-saliency map,target region,Cat's eye effect target recognition method,visual,attention,second-directional derivative filter,directional channels,morphological method,potential targets exist,designed saliency fusing,method,candidate targets,Cat's eye effect target recognition method,based on visual attention (CTRVA),Target recognition,Saliency map,Engineering  
Background Subtraction With Real-Time Semantic Segmentation 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 153869-153884
作者:  D.D.Zeng;  X.Chen;  M.Zhu;  M.Goesele;  A.Kuijper
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：245/73  |  提交时间：2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications  
Combining background subtraction algorithms with convolutional neural network 期刊论文
Journal of Electronic Imaging, 2019, 卷号: 28, 期号: 1, 页码: 6
作者:  D.D.Zeng;  M.Zhu;  A.Kuijper
浏览  |  Adobe PDF(1748Kb)  |  收藏  |  浏览/下载：245/74  |  提交时间：2020/08/24
foreground object detection,convolutional neural network,CDnet 2014,dataset,video surveillance,object detection,Engineering,Optics,Imaging Science & Photographic Technology  
MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 90801-90814
作者:  J.R.Wang;  M.Zhu;  D.Y.Sun;  B.Wang;  W.Gao;  H.Wei
浏览  |  Adobe PDF(6364Kb)  |  收藏  |  浏览/下载：243/54  |  提交时间：2020/08/24
3D object detection,multi-sensor fusion,attention mechanism,autonomous driving,cloud,Computer Science,Engineering,Telecommunications  
Infrared Dim-Small Target Detection Based on Robust Principal Component Analysis and Multi-Point Constant False Alarm 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 8
作者:  M.Ma;  D.Wang;  H.Sun;  T.Zhang
caj(1970Kb)  |  收藏  |  浏览/下载：476/46  |  提交时间：2020/08/24
Signal to noise ratio,Alarm systems,Errors,Extraction,Image resolution,Image segmentation,Object recognition,Pixels,Principal component analysis  
Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification 期刊论文
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 22, 页码: 19
作者:  M.Y.Li;  X.He;  Z.H.Wei;  J.Wang;  Z.Y.Mu;  A.Kuijper
浏览  |  Adobe PDF(4057Kb)  |  收藏  |  浏览/下载：548/128  |  提交时间：2020/08/24
multiple object tracking,identity consistency,single object tracking,association,Chemistry,Engineering,Materials Science,Physics  
Object tracking framework with Siamese network and re-detection mechanism 期刊论文
Eurasip Journal on Wireless Communications and Networking, 2019, 卷号: 2019, 期号: 1, 页码: 14
作者:  D.Q.Li;  Y.Yu;  X.L.Chen
浏览  |  Adobe PDF(2372Kb)  |  收藏  |  浏览/下载：251/84  |  提交时间：2020/08/24
Object tracking,Siamese network,Re-detection mechanism,Generative,model,High-confidence update,visual tracking,Engineering,Telecommunications