8 citations · 13 across the 3 of their papers we have counts for
3 papers · 1 filter
GRAP-MOT: Unsupervised Graph-based Position Weighted Person Multi-camera Multi-object Tracking in a Highly Congested Space
Marek Socha, Michał Marczyk, Aleksander Kempski +4
GRAP-MOT is a new approach for solving the person MOT problem dedicated to videos of closed areas with overlapping multi-camera views, where person occlusion frequently occurs. Our…
Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods
Paweł Foszner, Agnieszka Szczęsna, Luca Ciampi +7
Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or othe…
CrowdSim2: an Open Synthetic Benchmark for Object Detectors
Paweł Foszner, Agnieszka Szczęsna, Luca Ciampi +7
Data scarcity has become one of the main obstacles to developing supervised models based on Artificial Intelligence in Computer Vision. Indeed, Deep Learning-based models systemati…