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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：347/55  |  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：326/76  |  提交时间：2018/03/03
Global Graph Model  Multicamera Multiobject Tracking  Nonoverlapping Visual Object Tracking  
Spatiotemporal Group Context for Pedestrian Counting 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, 卷号: 24, 期号: 9, 页码: 1620-1630
作者:  Wang, Jinqiao;  Fu, Wei;  Liu, Jingjing;  Lu, Hanqing
浏览  |  Adobe PDF(3404Kb)  |  收藏  |  浏览/下载：375/69  |  提交时间：2015/08/12
Group Context  Group Correspondence Matrix  Markov-chain Monte Carlo (Mcmc)  Pedestrian Counting