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 …

Perception is the fundamental task of any autonomous driving system, which gathers all the
necessary information about the surrounding environment of the moving vehicle. The …

Intelligent video summarization algorithms allow to quickly convey the most relevant
information in videos through the identification of the most essential and explanatory content …

In the practical scenario of construction sites with extremely complicated working
environment and numerous personnel, it is challenging to detect safety helmet wearing …

Pedestrian detection has become an important subject in applications such as automobile
autopilot assistance and pedestrian tracking in surveillance systems. A number of powerful …

Convolutional neural networks (CNNs) have demonstrated remarkable performance in
various computer vision tasks, such as image classification, semantic segmentation, and …

Data classification is the most common task in machine learning, and feature selection is the
key step in the classification task. Common feature selection methods mainly analyze the …

Pedestrian detection is still a challenging task for computer vision, especially in crowded
scenes where the overlaps between pedestrians tend to be large. The non-maximum …

In pedestrian detection, the upsampling operation of YOLOv4 during feature aggregation
affects the integrity of feature information for small-scale and occluded targets. To address …