机译:行人检测中弱分类器挖掘的偏导导
The authors are with the Department of Electronic Engineering, Tsinghua University, Beijing, 100084 China;
The authors are with the Department of Electronic Engineering, Tsinghua University, Beijing, 100084 China;
The authors are with the Department of Electronic Engineering, Tsinghua University, Beijing, 100084 China;
The authors are with the Department of Electronic Engineering, Tsinghua University, Beijing, 100084 China;
pedestrian detection; partial derivative; classifier mining; hog; boosting;
机译:行人检测弱分类器挖掘的部分衍生指导
机译:弱q凸域上具有(偏微分)Neumann算子的精确支持和正则性的(偏导数)凸问题的解。
机译:Littlewood-Paley微分算子理论偏导数(2)/偏导数x(1)(2)偏导数(2)/偏导数x(2)(2)-偏导数(2)/偏导数x(3) )(2)
机译:使用基于混合偏导数的直方图的定向梯度进行行人检测
机译:通过增强基于简单形状特征的弱分类器来进行基于零件的对象检测,分割和跟踪
机译:调整分类器以加速红外图像行人的检测
机译:人群行人检测的可见功能指导
机译:将月球和行星中段修正要求与导向系统注入误差相关的偏导数的解析计算