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 …

近年来, 基于卷积神经网络的目标检测研究发展十分迅速, 各种检测模型的改进方法层出不穷.
本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳. 首先 …

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 …