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Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：335/55  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 11, 页码: 2367-2381
作者:  Chen, Weihua;  Cao, Lijun;  Chen, Xiaotang;  Huang, Kaiqi
浏览  |  Adobe PDF(16585Kb)  |  收藏  |  浏览/下载：322/76  |  提交时间：2018/03/03
Global Graph Model  Multicamera Multiobject Tracking  Nonoverlapping Visual Object Tracking  
Contextual Exemplar Classifier-Based Image Representation for Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 8, 页码: 1691-1699
作者:  Zhang, Chunjie;  Huang, Qingming;  Tian, Qi
浏览  |  Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：364/123  |  提交时间：2017/09/14
Computer Vision  Image Processing  Pattern Classification  
Adaptive Slice Representation for Human Action Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 10, 页码: 1624-1636
作者:  Shan, Yanhu;  Zhang, Zhang;  Yang, Peipei;  Huang, Kaiqi;  Kaiqi Huang
浏览  |  Adobe PDF(2720Kb)  |  收藏  |  浏览/下载：340/102  |  提交时间：2015/11/12
Action Recognition  Adaptive Slice  Mel Frequency Cepstrum Coefficient (Mfcc)  Minimum Average Entropy (Minae)  
Boosted Exemplar Learning for Action Recognition and Annotation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 卷号: 21, 期号: 7, 页码: 853-866
作者:  Zhang, Tianzhu;  Liu, Jing;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing
浏览  |  Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：279/65  |  提交时间：2015/08/12
Action Annotation  Action Recognition  Adaboost  Mi-svm  Multiple Instance Learning (Mil)  
Pointwise Motion Image (PMI): A Novel Motion Representation and Its Applications to Abnormality Detection and Behavior Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2009, 卷号: 19, 期号: 3, 页码: 407-416
作者:  Dong, Qiulei;  Wu, Yihong;  Hu, Zhanyi
浏览  |  Adobe PDF(718Kb)  |  收藏  |  浏览/下载：165/31  |  提交时间：2015/08/12
Abnormality Detection  Behavior Recognition  Motion Representation  Pointwise Motion Image (Pmi)