Extracting Refined Low-Rank Features of Robust PCA for Human Action Recognition

著录项

• 来源
  《Arabian Journal for Science and Engineering》 |2015年第5期|1427-1441|共15页
• 作者

  Shijian Huang; Junyong Ye; Tongqing Wang; Li Jiang; Xuegang Wu; Yang Li;

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• 作者单位

  1.Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education Chongqing University Chongqing 400044 China 2.School of Electronic Information Engineering Yangtze Normal University Fuling 408100 Chongqing China;

  1.Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education Chongqing University Chongqing 400044 China;

  1.Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education Chongqing University Chongqing 400044 China;

  3.College of Automation Chongqing University of Posts and Telecommunications Chongqing 400065 China;

  4.College of Communication Engineering Chongqing University Chongqing 400044 China 5.College of Computer Engineering Yangtze Normal University Fuling 408100 Chongqing China;

  1.Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education Chongqing University Chongqing 400044 China;

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• 收录信息 美国《科学引文索引》(SCI);
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Action recognition; Robust principal component analysis; Low-rank; Accumulated edge distribution histogram;

  机译：动作识别;鲁棒主成分分析;低秩;累积边缘分布直方图;
• 入库时间 2022-08-18 02:58:15