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CASIA OpenIR
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Rethinking the Competition Between Detection and ReID in Multiobject Tracking 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3182-3196
作者:  Liang, Chao;  Zhang, Zhipeng;  Zhou, Xue;  Zhu, Shuyuan;  Li, Bing;  Hu, Weiming
Adobe PDF(13361Kb)  |  收藏  |  浏览/下载：227/43  |  提交时间：2022/06/14
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
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：319/8  |  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  
Dual L-1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 期号: 128, 页码: 33
作者:  Hu, Weiming;  Shi, Xinchu;  Zhou, Zongwei;  Xing, Junliang;  Ling, Haibin;  Maybank, Stephen
Adobe PDF(6300Kb)  |  收藏  |  浏览/下载：707/229  |  提交时间：2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
FatRegion: A Fast, Adaptive, Tree-structured Region Extraction Approach 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2016, 卷号: PP, 期号: 99, 页码: 1-17
作者:  Junliang Xing;  Weiming Hu;  Haozhou Ai;  Shuicheng Yan
Adobe PDF(21334Kb)  |  收藏  |  浏览/下载：218/28  |  提交时间：2017/02/24
Object Classification  Region Extraction  Superpixel  Object Segmentation  Object 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：352/88  |  提交时间：2015/09/21
Visual Object Tracking  Tracking Multi-objects Under Occlusions  Multi-feature Joint Sparse Representation  
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 1, 页码: 66-82
作者:  Hu, Weiming;  Gao, Jun;  Wang, Yanguo;  Wu, Ou;  Maybank, Stephen;  Weiming Hu
浏览  |  Adobe PDF(2100Kb)  |  收藏  |  浏览/下载：431/166  |  提交时间：2015/08/12
Dynamic Distributed Detection  Network Intrusions  Online Adaboost Learning  Parameterized Model