4 papers
Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment
Yuqiang Lin, Sam Lockyer, Shucheng Zhang +6
Cameras are a core sensing modality in modern intelligent transportation systems (ITS), providing rich visual information on road-user activities. Multi-Camera Vehicle Tracking (MC…
TAU-R1: Visual Language Model for Traffic Anomaly Understanding
Yuqiang Lin, Kehua Chen, Sam Lockyer +12
Traffic Anomaly Understanding (TAU) is important for traffic safety in Intelligent Transportation Systems. Recent vision-language models (VLMs) have shown strong capabilities in vi…
RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking
Yuqiang Lin, Sam Lockyer, Mingxuan Sui +6
The multi-camera vehicle tracking (MCVT) framework holds significant potential for smart city applications, including anomaly detection, traffic density estimation, and suspect veh…
City-Scale Multi-Camera Vehicle Tracking System with Improved Self-Supervised Camera Link Model
Yuqiang Lin, Sam Lockyer, Nic Zhang
Multi-Target Multi-Camera Tracking (MTMCT) has broad applications and forms the basis for numerous future city-wide systems (e.g. traffic management, crash detection, etc.). Howeve…