Pedestrian detection is a core problem in computer vision that sees broad application in
video surveillance and, more recently, in advanced driving assistance systems. Despite its …

Pedestrian detection is a canonical problem for safety and security applications, and it
remains a challenging problem due to the highly variable lighting conditions in which …

Pedestrian detection is a core problem in computer vision, and is a problem that is gaining
prominence due to its importance in assisted and autonomous driving applications. Many …

In this paper we propose a method for improving pedestrian detection in the thermal domain
using two stages: first, a generative data augmentation approach is used, then a domain …

This paper presents an approach to pedestrian detection in thermal infrared (thermal)
images with limited annotations. The key idea is to adapt the abundance of color images …

Pedestrian detection is a common task in the research area of video analysis and its results
lay the foundations of a wide range of applications. It is commonly known that under …

With the increasing interest in pedestrian detection, pedestrian datasets have also been the
subject of research in the past decades. However, most existing datasets focus on a color …

Thermal infrared (TIR) image has proven effectiveness in providing temperature cues to the
RGB features for multispectral pedestrian detection. Most existing methods directly inject the …

Integrating multispectral data has been demonstrated to be an effective solution for
illumination-invariant pedestrian detection, in particular, RGB and thermal images can …

Multispectral pedestrian detection is an important functionality in various computer vision
applications such as robot sensing, security surveillance, and autonomous driving. In this …