2 papers
cs.CV2026
CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
Antonius Bima Murti Wijaya, Paul Henderson, Marwa Mahmoud
In real-world applications, pedestrian trajectory prediction models rely on inputs from detection and tracking systems. Prior trajectory prediction benchmarks either contain relati…
cs.AI2026
Efficient Dense Crowd Trajectory Prediction Via Dynamic Clustering
Antonius Bima Murti Wijaya, Paul Henderson, Marwa Mahmoud
Crowd trajectory prediction plays a crucial role in public safety and management, where it can help prevent disasters such as stampedes. Recent works address the problem by predict…