计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 299-302.doi: 10.11896/j.issn.1002-137X.2015.09.059
张鸿宇,刘威,许 炜,王 辉
ZHANG Hong-yu, LIU Wei, XU Wei and WANG Hui
摘要: 在数字化学习场景中,人体姿态的识别有助于分析学习者的学习状态。提出了一种基于深度图像的多学习者姿态识别方法。首先通过Kinect的红外传感器获取包含深度信息的图像,利用深度图像进行人像-背景分离;然后提取人体的轮廓特征Hu矩;最后采用SVM分类器对轮廓特征进行分类和识别。实验结果表明,本方法能有效地识别多个学习者的举手、正坐和低头等姿态。
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