Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8
Traffic safety is a major global concern. Helmet usage is a key factor in preventing head
injuries and fatalities caused by motorcycle accidents. However, helmet usage violations …
injuries and fatalities caused by motorcycle accidents. However, helmet usage violations …
The 7th ai city challenge
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
Enhancing traffic safety with parallel dense video captioning for end-to-end event analysis
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to
solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS) a …
solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS) a …
CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities
Person re-identification (reID) is a crucial aspect of intelligent surveillance systems, enabling
the recognition of individuals across non-overlapping camera views. As compared to the …
the recognition of individuals across non-overlapping camera views. As compared to the …
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
This study addresses the evolving challenges in urban traffic monitoring detection systems
based on fisheye lens cameras by proposing a framework that improves the efficacy and …
based on fisheye lens cameras by proposing a framework that improves the efficacy and …
Real-time helmet violation detection using yolov5 and ensemble learning
The proper enforcement of motorcycle helmet regulations is crucial for ensuring the safety of
motorbike passengers and riders, as roadway cyclists and passengers are not likely to abide …
motorbike passengers and riders, as roadway cyclists and passengers are not likely to abide …
Cross Approach Between Modern Artificial Intelligence and Emergency Medicine: A Review
K Edjinedja, O Barakat, T Desmettre, T Marx… - Science and Information …, 2024 - Springer
The emergency department (ED) is an intricate facet of the healthcare system, including
hospital and prehospital entities that interact closely to make quick and accurate decisions …
hospital and prehospital entities that interact closely to make quick and accurate decisions …
AdaptCD: An adaptive target region-based commodity detection system
With the rapid development of computer vision, the detection and counting of goods through
computer vision techniques has become practicable. The AICity competition has focused its …
computer vision techniques has become practicable. The AICity competition has focused its …
Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists' Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial …
In this study, we introduce an innovative methodology for the detection of helmet usage
violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep …
violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep …
Improving deep learning-based automatic checkout system using image enhancement techniques
The retail sector has experienced significant growth in artificial intelligence and computer
vision applications, particularly with the emergence of automatic checkout (ACO) systems in …
vision applications, particularly with the emergence of automatic checkout (ACO) systems in …