An Effective Vehicle Trajectory Restoration Algorithm Based on Center Trajectory

Some occlusions of multiple vehicles might occur in the surveillance camera-based vehicle tracking system; thus, the tracking system will lose track of a vehicle and mistakenly assign this vehicle a new ID.This problem, called ID switch, will significantly impact the accuracy of vehicle tracking applications if they rely on consistent tracking results.To address this challenge of ID switches caused by occlusions, a new trajectory restoration method is proposed.The proposed method will first group the same direction of trajectories and the system will compute the central trajectory.When a trajectory is identified as broken, the system can follow the central trajectory to search for another matching broken segment.This process not only enhances the continuity of vehicle tracking but also helps in maintaining the identity of the vehicle throughout the tracking duration.In this study, the performance of the proposed algorithm is evaluated using the dataset from Taipei City's roadside surveillance cameras in urban areas.The experimental results show that the proposed method is effective in reducing the number of ID switches, improving the overall accuracy of vehicle tracking, and contributing to more reliable traffic analysis.