City-Scale Multi-Camera Vehicle Tracking Excellence
City-scale multi-camera vehicle tracking is a complex task involving the tracking of vehicles across multiple cameras distributed throughout a city. This is a challenging problem due to factors like varying camera viewpoints, occlusions, lighting conditions, and the need to maintain…
Traffic Flow Forecasting by attention mechanism with ST-GCNs
The use of deep learning techniques, namely Spatial-Temporal Graph Convolutional Networks (ST-GCNs) enhanced with attention mechanisms, for traffic flow forecasting. In transportation and urban planning, traffic flow forecasting is a crucial task. It attempts to forecast future traffic conditions based…