Pedestrian detection has a wide range of application prospects in many fields such as
unmanned driving, intelligent monitoring, robot, etc., and has always been a hot issue in the …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

摘要针对真实场景中因行人相互遮挡难以被精确检测的情况, 提出一种基于注意力机制的特征
提取增强检测算法. 首先, 通过添加注意力模块学习特征通道间关系和特征图空间信息 …

遮挡是行人检测任务中导致漏检发生的主要原因之一, 对检测器性能造成了不利影响.
为了增强检测器对于遮挡行人目标的检测能力, 该文提出一种基于特征引导注意机制的单级行人 …

Infrared pedestrian target detection is affected by factors such as the low resolution and
contrast of infrared pedestrian images, as well as the complexity of the background and the …

尺度过小或被遮挡是造成行人检测准确率降低的主要原因. 由于行人头部不易被遮挡且其边界框
包含的背景干扰较少, 对此, 该文提出一种结合头部和整体信息的多特征融合行人检测方法 …

Several or even dozens of times spatial scale variation is one of the major bottleneck for
pedestrian detection. Although the Region-based Convolutional Neural Network (R-CNN) …

Pedestrian detection has become more and more important in the field of robotic vision,
having applications in autonomous driving, automated surveillance, smart homes, as well as …

The research in pedestrian detection has made remarkable progress in recent years.
However, robust pedestrian detection in crowded scenes remains a considerable challenge …

The decrease in accuracy of pedestrian detection mainly caused by occlusion and too small
scale. Since the pedestrian head is not easily occluded and it's bounding box contains less …