机译:通过有限数据训练的用于人类动作识别的多流3D CNN结构
Islamic Azad Univ, Sci & Res Branch, Dept Elect & Comp Engn, Tehran, Iran;
Islamic Azad Univ, Sci & Res Branch, Dept Elect & Comp Engn, Tehran, Iran;
object recognition; image motion analysis; image classification; cameras; feature extraction; learning (artificial intelligence); video signal processing; image sequences; convolutional neural nets; multistream 3D CNN structure; human action recognition; training performance; training data case; optical flows; vertical directions; three-dimensional CNNs; four-stream 3D CNNs; single-stream model; two-stream architecture; four-stream architecture; information channels; separate streams; action recognition system; data set; four-stream structure; convolutional neural network architectures; optical flow; recognition rate; IXMAS;
机译:用于人类动作识别的多流3d CNN结构,受限数据训练
机译:多流CNN用于有限训练数据中的面部表情识别
机译:多流CNN:基于人类相关地区进行行动识别的学习表示
机译:使用多流CNN的受限数据案例中的多视图人类动作识别系统
机译:使用Optical Flow和3D HMM进行面部表情识别,并使用长方体和主题模型进行人体动作识别
机译:Tuhad:跆拳道单位技术人员行动数据集与基于关键帧的CNN动作识别
机译:使用预先训练的CNN模型和LSTM方法,基于时空特征提取的人体动作识别