Abstract The eighth AI City Challenge highlighted the convergence of computer vision and
artificial intelligence in areas like retail warehouse settings and Intelligent Traffic Systems …

The application of computer vision in transportation engineering has facilitated real-time
traffic flow optimization, vehicle counting, anomaly detection, and ameliorated transportation …

Automatic traffic surveillance usually relies on the estimation of traffic flow parameters
through either dedicated sensors or the processing of road surveillance cameras. However …

The recent advances in deep learning techniques enable 2D Multi-object tracking (MOT) to
achieve remarkable performance over traditional methods. However, most 2D MOT …

Road traffic anomaly detection is vital for reducing the number of accidents and ensuring a
more efficient and safer transportation system. In highways, where traffic volume and speed …