computer vision; image classification; image fusion; object detection; pedestrians; support vector machines; traffic engineering computing; video surveillance; HOG features; artificially occluded samples; cascaded classifier; computer vision; global classifier; image fusion method; intelligent vehicle; linear fusion coefficients; linear-SVM classifier; non-occluded dataset; nonlinear fusion coefficients; part-based classifier; partial occlusion handling; partially occluded pedestrian classification; pedestrian detection approach; surveillance systems; three stage cascaded classifier; training data; Computational modeling; Computer vision; Conferences; Pattern analysis; Pattern recognition; Support vector machines;
机译:通过增强的级联检测器检测部分被遮挡的行人
机译:使用定向梯度直方图和局部加权线性核支持向量机的部分封闭行人分类
机译:激光雷达与雷达融合中基于遮挡深度的部分遮挡行人检测方案
机译:使用三阶段级联分类器部分封闭的行人分类
机译:神经网络方法可确定部分遮挡的物体的角度和比例。
机译:基于多阶段特征选择的智能分类器用于建筑物初期火灾的分类
机译:增强的Adaboost Haar级联分类器模型,以检测数字图像中的部分封闭面