CR-YOLOv8: Multiscale object detection in traffic sign images

LJ Zhang, JJ Fang, YX Liu, HF Le, ZQ Rao… - IEEE Access, 2023 - ieeexplore.ieee.org
Due to the large-scale changes of different forms of traffic signs and the rapid speed of
vehicles, the detection accuracy and real-time performance of general object detectors are …

Crowd management intelligence framework: Umrah use case

W Halboob, H Altaheri, A Derhab, J Almuhtadi - IEEE Access, 2024 - ieeexplore.ieee.org
Crowd management is crucial for countries and organizations as it can lead to severe
consequences or serious safety concerns. Most of the existing research focus on addressing …

Label noise robust crowd counting with loss filtering factor

Z Xu, H Lin, Y Chen, Y Li - Applied Artificial Intelligence, 2024 - Taylor & Francis
Crowd counting, a crucial computer vision task, aims at estimating the number of individuals
in various environments. Each person in crowd counting datasets is typically annotated by a …

Motion segmentation using Ward's hierarchical agglomerative clustering for crowd disaster risk mitigation

A Hafeezallah, A Al-Dhamari… - International Journal of …, 2024 - Elsevier
Motion segmentation has gained increasing attention due to its significance for many public
surveillance applications, such as behavior understanding and density estimation. Thus …

Adversarial example generation for object detection using a data augmentation framework and momentum

Z Ding, L Sun, X Mao, L Dai, B Xu - Signal, Image and Video Processing, 2024 - Springer
Object detection plays a vital role in numerous fields, including unmanned vehicles, security,
and industry, among others. However, recent studies have shown that object detection …