Trajectory kinematics descriptor for trajectory clustering in surveillance videos
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