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 …

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 …

In the vast and dynamic landscape of urban settings Traffic Safety Description and Analysis
plays a pivotal role in applications ranging from insurance inspection to accident prevention …

Traffic video description and analysis have received much attention recently due to the
growing demand for efficient and reliable urban surveillance systems. Most existing methods …

In recent years traffic surveillance systems have begun leveraging fisheye lenses to
minimize the requisite number of cameras for comprehensive coverage of streets and …

Motorcycle helmet detection is a crucial task in intelligent traffic systems (ITS) as it enhances
traffic safety consciousness and guides individuals towards legal compliance. Numerous …

The implementation of multi-target multi-camera tracking systems in indoor environments
including shops and warehouses facilitates strategic product positioning and the …

Recently there has been a significant amount of research on Multi-Camera People Tracking
(MCPT). MCPT presents more challenges compared to Multi-Object Single Camera Tracking …

Abstract Multi-camera Multi-Object Tracking has drawn significant attention in recent years
due to its critical role in surveillance analytics and related fields. Various challenges …

The analysis of traffic patterns is crucial for enhancing safety and optimizing flow within
urban cities. While urban cities possess extensive camera networks for monitoring the raw …