driver information systems; feature extraction; image classification; multilayer perceptrons; pose estimation; support vector machines; KNN; MFI; MLP; PHOG; SVM; driving activities; driving posture dataset; global grid-based representation; hierarchal classification system; illumination variations; k-nearest neighbor; motion descriptive shape; motion frequency image; multiple layer perceptron; pyramid histogram of oriented gradients; random forest; side-mounted camera; support vector machine; three level hierarchal classification system; vision-based driving posture recognition; Cameras; Gears; Image segmentation; Lighting; Motion segmentation; Skin; Vehicles; driving assistance system; driving posture recognition; hierarchal classification; motion frequency image;
机译:基于视频的驾驶行为分类,使用具有多个特征的分层分类系统
机译:勘误至:通过多层感知器分类器的组合特征和随机子空间集合识别驾驶姿势
机译:多层感知器分类器的组合特征和随机子空间集成识别驾驶姿势
机译:通过具有多个功能的分层分类系统驾驶姿势识别
机译:基于深度特征的异构环境中面部识别的分层分类方案
机译:基于PCA样本熵特征和多种分类算法检测脑电图中不利的驱动状态
机译:基于视频的驾驶行为分类,使用具有多个特征的分层分类系统
机译:使用多个特征和多个识别器的语音识别