Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …

During the next decade, on-board pedestrian detection systems will play a key role in the
challenge of increasing traffic safety. The main target of these systems, to detect pedestrians …

This paper presents a novel pedestrian detection system for intelligent vehicles. We propose
the use of dense stereo for both the generation of regions of interest and pedestrian …

Many typical applications of object detection operate within a prescribed false-positive
range. In this situation the performance of a detector should be assessed on the basis of the …

Pedestrian detection is an important component for safety of autonomous vehicles, as well
as for traffic and street surveillance. There are extensive benchmarks on this topic and it has …

People detection methods are highly sensitive to occlusions between pedestrians, which are
extremely frequent in many situations where cameras have to be mounted at a limited …

Efficiently and accurately detecting pedestrians plays a very important role in many
computer vision applications such as video surveillance and smart cars. In order to find the …

Pedestrian detection is of crucial importance to autonomous driving applications. Methods
based on deep learning have shown significant improvements in accuracy, which makes …

Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …