A source-free unsupervised transferability assessment based on RINN and embedding similarity tailored for surveillance data to identify optimal general-purpose model for adaptation.
Jun 20, 2025
This paper proposes a novel event-based video synopsis method that addresses object occlusion by using trajectory kinematics descriptors and affinity propagation to cluster similar kinematic events, resulting in clearer and more efficient summary videos compared to state-of-the-art techniques.
May 8, 2017
To overcome the problem of comparing object trajectories with varying lengths, this paper proposes a novel trajectory kinematics descriptor using Frenet-Serret frames, which achieves superior F-measure scores in event clustering compared to existing state-of-the-art methods.
May 24, 2015