Long-term Trajectory Extraction for Moving Vehicles

Abstract

In recent years, trajectory analysis of moving vehicles in video-based traffic monitoring systems has drawn the attention of many researchers. Trajectory extraction is a fundamental step that is required prior to trajectory analysis. Lots of previous work have focused on trajectory extraction via tracking. However, they often fail to achieve long-term consistent trajectories. In this paper, we propose a robust approach for extracting long-term trajectories of moving vehicles in traffic monitoring using SIFT-descriptor. Experimental results show that the proposed method outperforms tracking-based techniques.