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

Pedestrian detection in crowded scenes is a challenging problem, because occlusion
happens frequently among different pedestrians. In this paper, we propose an effective and …

Pedestrian detection in crowded scenes is an intractable problem in computer vision, in
which occlusion often presents a great challenge. In this paper, we propose a novel context …

In this paper, we address the challenging problem of detecting pedestrians, which are
heavily occluded and/or far from cameras. Unlike most existing pedestrian detection …

As a basic component in the field of computer vision, the pedestrian detection plays an
essential role in several real‐world applications such as video surveillance. The promising …

Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …

Pedestrian detection methods have been significantly improved with the development of
deep convolutional neural networks. Nevertheless, detecting ismall-scaled pedestrians and …

Pedestrian detection attracts much attention from the academic community since it is an
essential and significant component of autonomous driving. Despite many similarities with …

Pedestrian detection has become an important topic in applications such as automatic driver
assistance systems for automobiles and pedestrian tracking in surveillance systems, and …

Pedestrian detection relying on deep convolution neural networks has made significant
progress. Though promising results have been achieved on standard pedestrians, the …