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 …

Multispectral images that combine visual-optical and infrared image information are a
promising source of data for automatic person detection. Especially in automotive or …

In the present study, towards reliable and efficient object detection in thermal infrared (TIR)
images, we put forward a novel object detection approach, termed TIRNet, which is built …

Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …

The automatic detection of humans in aerial thermal imagery plays a significant role in
various real-time applications, such as surveillance, search and rescue and border …

The prevalence of computer vision systems necessitates hardware-based approaches to
relieve the high computational demand of deep neural networks in resource-limited …

In remote sensing, micro-Doppler signatures are widely used in moving target detection and
automatic target recognition. However, since Doppler signatures are easily affected by the …

Driven by the prominent thermal signature of humans and following the growing availability
of unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on …

Imaging sensors capturing the surroundings of an autonomous vehicle are vital for its
understanding of the environment. While thermal infrared cameras promise improved bad …

Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR)
image pairs are well-suited for practical applications like autonomous driving or visual …