AI RESEARCH
Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment
arXiv CS.CV
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ArXi:2511.13904v2 Announce Type: replace Cameras are a core sensing modality in modern intelligent transportation systems (ITS), providing rich visual information on road-user activities. Multi-Camera Vehicle Tracking (MCVT) uses this data to reconstruct vehicle trajectories across camera networks, ing applications such as traffic flow prediction and optimisation. However, most existing MCVT studies emphasise tracking accuracy while paying limited attention to real-time performance and scalability, both essential for real-world and city-scale deployment.