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基于累积边缘图像的现实人体动作识别

谌先敢 刘娟 高智勇 刘海华

谌先敢, 刘娟, 高智勇, 刘海华. 基于累积边缘图像的现实人体动作识别. 自动化学报, 2012, 38(8): 1380-1384. doi: 10.3724/SP.J.1004.2012.01380
引用本文: 谌先敢, 刘娟, 高智勇, 刘海华. 基于累积边缘图像的现实人体动作识别. 自动化学报, 2012, 38(8): 1380-1384. doi: 10.3724/SP.J.1004.2012.01380
CHEN Xian-Gan, LIU Juan, GAO Zhi-Yong, LIU Hai-Hua. Recognizing Realistic Human Actions Using Accumulative Edge Image. ACTA AUTOMATICA SINICA, 2012, 38(8): 1380-1384. doi: 10.3724/SP.J.1004.2012.01380
Citation: CHEN Xian-Gan, LIU Juan, GAO Zhi-Yong, LIU Hai-Hua. Recognizing Realistic Human Actions Using Accumulative Edge Image. ACTA AUTOMATICA SINICA, 2012, 38(8): 1380-1384. doi: 10.3724/SP.J.1004.2012.01380

基于累积边缘图像的现实人体动作识别

doi: 10.3724/SP.J.1004.2012.01380
详细信息
    通讯作者:

    刘娟

Recognizing Realistic Human Actions Using Accumulative Edge Image

  • 摘要: 为了从现实环境下识别出人体动作,本文研究了从无约束视频中提取特征表征人体动作的问题. 首先,在无约束的视频上使用形态学梯度操作消除部分背景,获得人体的轮廓形状; 其次,提取某一段视频上每一帧形状的边缘特征,累积到一幅图像中,称之为累积边缘图像 (Accumulative edge image, AEI); 然后,在该累积边缘图像上计算基于网格的方向梯度直方图(Histograms of orientation gradients, HOG),形成特征向量表征人体的动作, 送入分类器进行分类. YouTube数据集上的实验结果表明,本文的方法比其他方法更加有效.
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出版历程
  • 收稿日期:  2011-01-28
  • 修回日期:  2011-09-14
  • 刊出日期:  2012-08-20

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