计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 283-289.doi: 10.11896/j.issn.1002-137X.2017.06.050
涂宏斌,岳艳艳,周新建,罗锟
TU Hong-bin, YUE Yan-yan, ZHOU Xin-jian and LUO Kun
摘要: 针对行为人发生的行为因遮挡或者自遮挡可能导致行为歧义性的问题,提出基于改进PLSA和案例推理算法的行为识别方法。该算法既可以克服传统PLSA算法中生成式模型对观察特征序列的独立性假设会导致过拟合的缺点,又可以消除由于遮挡等原因引起的歧义性带来的识别精度降低问题。实验表明该方法能有效地提高人体行为识别准确率。
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