Multi-Object Tracking Comparison Hub
3 papers - avg viability 6.0
Top Papers
- Breaking Smooth-Motion Assumptions: A UAV Benchmark for Multi-Object Tracking in Complex and Adverse Conditions(7.0)
A new challenging UAV multi-object tracking benchmark dataset, DynUAV, is released to push the boundaries of tracking algorithms in complex real-world scenarios.
- ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking(7.0)
Track objects in omnidirectional video using language descriptions with our new dataset and LVLM-driven framework.
- Distributed Kalman--Consensus Filtering with Adaptive Uncertainty Weighting for Multi-Object Tracking in Mobile Robot Networks(4.0)
A distributed Kalman filter framework for improving multi-object tracking in mobile robot networks through adaptive uncertainty weighting.