For the surveillance camera-based vehicle tracking, vehicles may be occluded by other vehicles when many vehicles are on the road. In this case, a vehicle tracking system may have trouble tracking a vehicle continuously so that it can be retrieved later. This problem is typically referred to as ID switch. A promising application, named vision-based vehicle counting, normally requires reliable results from vehicle tracking; the ID switch problem, however, may strongly affect the end results of such an application. A trajectory restoration method is proposed in this paper to automatically define the road areas of entries and exits of each intersection and search for broken trajectories. In addition to matching broken trajectories by distances, the proposed algorithm uses multi-camera tracking to repair incomplete trajectories. In this study, the dataset of New Taipei City’s roadside surveillance cameras is used to evaluate the performance of the proposed algorithm. Experimental results show that the proposed method is able to reduce the number of ID switches; thus outperforming three object trackers and achieving state-of-the-art results.
An Effective Vehicle Trajectory Restoration Based on Multi-Camera Tracking
2024-07-24
1482418 byte
Conference paper
Electronic Resource
English
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