4 papers · 1 filter
UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics
Joseph Raj Vishal, Nagasiri Poluri, Katha Naik +7
Understanding the complex, multi-agent dynamics of urban traffic remains a fundamental challenge for video language models. This paper introduces Urban Dynamics VideoQA, a benchmar…
eSkiTB: A Synthetic Event-based Dataset for Tracking Skiers
Krishna Vinod, Joseph Raj Vishal, Kaustav Chanda +3
Tracking skiers in RGB broadcast footage is challenging due to motion blur, static overlays, and clutter that obscure the fast-moving athlete. Event cameras, with their asynchronou…
InterAct-Video: Reasoning-Rich Video QA for Urban Traffic
Joseph Raj Vishal, Divesh Basina, Rutuja Patil +4
Traffic monitoring is crucial for urban mobility, road safety, and intelligent transportation systems (ITS). Deep learning has advanced video-based traffic monitoring through video…
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks
Joseph Raj Vishal, Divesh Basina, Aarya Choudhary +1
Recent advances in video question answering (VideoQA) offer promising applications, especially in traffic monitoring, where efficient video interpretation is critical. Within ITS,…