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Mar, 2016
基于正则化深层LSTM网络的骨架动作识别的共现特征学习
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks
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Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li...
TL;DR
提出了一种基于骨架的行为识别模型,使用递归神经网络(RNNs)与长短时记忆(LSTM)建立深度学习网络,学习并自动建模骨架关节之间的协同特征,在三个人类行为识别数据集上具有良好的效果。
Abstract
Skeleton based action recognition distinguishes human actions using the trajectories of skeleton joints, which provide a very good representation for describing actions. Considering that
recurrent neural networks
(RNNs) with
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