关键词: 多目标跟踪, 目标关联, 轨迹优化, Savitzky-Golay滤波器

Abstract:

In order to obtain the movement trajectory of the vehicle in the traffic video and provide the dynamic traffic information of the road, a long-term multi-object vehicle tracking algorithm based on the combination of Yolo3 object detection and KCF object prediction, associated historical trajectory prediction results and detection results is proposed. For the non-smooth phenomenon of vehicle trajectory acquired by machine vision, the original vehicle trajectory is smoothed and optimized by Savitzky-Golay filter. Before and after optimization of vehicle trajectory in the test scenes, the optimized trajectory improves the trajectory smoothness under the premise of retaining original vehicle motion characteristics, and the dynamic traffic information provided can better reflect real motion condition of vehicle.

Key words: multi-object tracking, object association, trajectory optimization, Savitzky-Golay filter