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CASIA OpenIR
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Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
收藏  |  浏览/下载：282/0  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 1, 页码: 172-188
作者:  Hu, Weiming;  Gao, Jin;  Xing, Junliang;  Zhang, Chao;  Maybank, Stephen;  Weiming Hu
Adobe PDF(7133Kb)  |  收藏  |  浏览/下载：447/136  |  提交时间：2016/04/13
Discriminant Tracking  Tensor Samples  Semi-supervised Learning  Graph Embedding Space  
A system for learning statistical motion patterns 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 卷号: 28, 期号: 9, 页码: 1450-1464
作者:  Hu, Weiming;  Xiao, Xuejuan;  Fu, Zhouyu;  Xie, Dan;  Tan, Tieniu;  Maybank, Steve
收藏  |  浏览/下载：196/0  |  提交时间：2015/11/08
Tracking Multiple Objects  Learning Statistical Motion Patterns  Anomaly Detection  Behavior Understanding  
Principal axis-based correspondence between multiple cameras for people tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 卷号: 28, 期号: 4, 页码: 663-671
作者:  Hu, WM;  Zhou, X;  Tan, TN;  Lou, JG;  Maybank, S
收藏  |  浏览/下载：252/0  |  提交时间：2015/11/07
Correspondence Between Multiple Cameras  Principal Axes  People Tracking  
Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation 期刊论文
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
浏览  |  Adobe PDF(1758Kb)  |  收藏  |  浏览/下载：335/84  |  提交时间：2015/09/21
Visual Object Tracking  Tracking Multi-objects Under Occlusions  Multi-feature Joint Sparse Representation  
Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 卷号: 34, 期号: 12, 页码: 2420-2440
作者:  Hu, Weiming;  Li, Xi;  Luo, Wenhan;  Zhang, Xiaoqin;  Maybank, Stephen;  Zhang, Zhongfei
收藏  |  浏览/下载：178/0  |  提交时间：2015/08/12
Visual Object Tracking  Occlusion Reasoning  Log-euclidean Riemannian Subspace  Incremental Learning  Block-division Appearance Model