Portal de Periódicos da CAPES

Clustering of Vehicle Trajectories

2010; Institute of Electrical and Electronics Engineers; Volume: 11; Issue: 3 Linguagem: Inglês

10.1109/tits.2010.2048101

1558-0016

Stefan Atev, Grant Miller, Nikolaos Papanikolopoulos,

Time Series Analysis and Forecasting

We present a method that is suitable for clustering of vehicle trajectories obtained by an automated vision system. We combine ideas from two spectral clustering methods and propose a trajectory-similarity measure based on the Hausdorff distance, with modifications to improve its robustness and account for the fact that trajectories are ordered collections of points. We compare the proposed method with two well-known trajectory-clustering methods on a few real-world data sets.