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基于半马尔可夫和Large-margin的动作识别

DOI: 10.11834/jig.20091118

Keywords: 动作识别,半马尔可夫,支持向量机

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Abstract:

如果一个人做了一系列连续动作，并被拍摄成一段视频，那么如何通过这段视频对动作进行分割和识别是人们要考虑的问题。为了对视频中的人的动作进行有效识别，基于半马尔可夫模型框架，提出了一个对人的动作进行识别的方法，该方法通过输入-输出空间的一组特征值来抓住与2个动作相邻的帧的特征，以及相邻的2个动作段之间的特征。为了提高算法的效率，提出了一个类似于Viterbi的算法，该算法被用来解决优化问题。不同数据集上的实验结果表明，该方法是有效的。

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